WO1998058250A2 - Methods of calibrating and testing a sensor for in vivo measurement of an analyte and devices for use in such methods - Google Patents

Methods of calibrating and testing a sensor for in vivo measurement of an analyte and devices for use in such methods Download PDF

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Publication number
WO1998058250A2
WO1998058250A2 PCT/IE1998/000045 IE9800045W WO9858250A2 WO 1998058250 A2 WO1998058250 A2 WO 1998058250A2 IE 9800045 W IE9800045 W IE 9800045W WO 9858250 A2 WO9858250 A2 WO 9858250A2
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WO
WIPO (PCT)
Prior art keywords
sensor
analyte
signal
measured
subject
Prior art date
Application number
PCT/IE1998/000045
Other languages
French (fr)
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WO1998058250A3 (en
Inventor
Joseph Gross
Meir Reingewirtz
George Moshe Katz
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Elan Corporation, Plc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from IE970443A external-priority patent/IE970443A1/en
Application filed by Elan Corporation, Plc filed Critical Elan Corporation, Plc
Priority to CA002294610A priority Critical patent/CA2294610A1/en
Priority to EP98928503A priority patent/EP0990151A2/en
Priority to JP50406499A priority patent/JP2002505008A/en
Priority to AU80318/98A priority patent/AU8031898A/en
Publication of WO1998058250A2 publication Critical patent/WO1998058250A2/en
Publication of WO1998058250A3 publication Critical patent/WO1998058250A3/en

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    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/001Enzyme electrodes
    • C12Q1/005Enzyme electrodes involving specific analytes or enzymes
    • C12Q1/006Enzyme electrodes involving specific analytes or enzymes for glucose
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1486Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using enzyme electrodes, e.g. with immobilised oxidase
    • A61B5/14865Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using enzyme electrodes, e.g. with immobilised oxidase invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1495Calibrating or testing of in-vivo probes
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6846Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be brought in contact with an internal body part, i.e. invasive
    • A61B5/6847Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be brought in contact with an internal body part, i.e. invasive mounted on an invasive device
    • A61B5/6848Needles

Definitions

  • This invention relates to devices and methods for measuring an analyte in vivo, and in particular to sensors for use in such devices and methods.
  • WO 96/14026 describes an analyte-controlled liquid delivery device and analyte monitor in which an analyte such as glucose is detected by a platinum-iridium sensor needle having an enzymatic coating such as glucose oxidase.
  • the sensor needle is typically located on a housing having a lower surface for application to the skin of a subject.
  • Glucose in the presence of the enzymatic coating undergoes a reaction with oxygen, and one of the by-products of the reaction is hydrogen peroxide. This in turn is broken down by the platinum in the sensor needle which forms an electrode of an electrical circuit.
  • the level of concentration of glucose is proportional to the magnitude of the current.
  • the magnitude of the current through the electrical circuit can be used to determine the concentration of glucose.
  • One method of calibrating such sensors is to use them to measure a standard solution of the analyte for which they are intended, and thereby determining the signal strength achieved from a known concentration of analyte.
  • a calibration function which can in theory be used to derive the analyte concentration in vivo from the measured signal.
  • the performance of a sensor may vary over the shelf life of the sensor. Additionally, when the sensor is actually used, it is in a different environment from that in which the batch was calibrated. The sensor will form part of a system in use which is partly biological and which will vary between individual subjects. For example, the laboratory batch calibration function may not take account of the presence of unwanted substances in vivo which give a false background signal.
  • enzymatic sensors are subject to a deterioration in performance. This can happen as a result of the enzymatic material being physically or chemically degraded, or as a result of a build up of biological material on the sensor, for example.
  • WO 96/14026 incorporated herein by reference, a method of detecting a decrease in the performance level of a sensor is disclosed. In this method, a pulsatile sampling technique is used in which pulses of current are detected at or about a peak value and at or about a base line value.
  • the ratio of the two measured currents was found to be independent of the concentration of the analyte being measured, such that if this ratio was found to change over time, one could deduce that the performance of the sensor had changed in some way (usually due to degradation).
  • the present invention seeks to provide an alternative and more reliable method of monitoring sensor performance and degradation.
  • the present invention seeks to provide an alternative method of testing a sensor to detect changes in the sensor performance.
  • the invention provides a method of calibrating an analyte sensor in vivo, comprising the steps of:
  • the method according to the invention provides a way of using the response attained from a predetermined stimulus to evaluate the response to subsequent stimuli, i.e. actual measurements recorded by the sensor in vivo, taking into account the condition of the sensor and the conditions encountered in use.
  • the first predetermined stimulus is generated by providing a supply of material to which the sensor is sensitive, such that the material stimulates the sensor when the sensor is applied to a subject.
  • the material is provided in the vicinity of the sensor in a form in which it is soluble in biological fluids present in the area of the subject to which the sensor is applied.
  • a soluble material will be released to the sensor upon application to the body, and since the speed of dissolution and the transport of dissolved material in the body can be accurately predicted, so can the time at which the material reaches the sensor and the concentration of material thereby encountered by the sensor.
  • the material comprises an analyte or a precursor or derivative thereof.
  • the sensor generates a reliable response to whichever material is chosen, but by choosing the analyte or a closely related substance as the relevant material, a relatively simple sensor which is only required to be sensitive to one substance or a small range of substances can be used.
  • a salt of the analyte which exhibits a high solubility in vivo.
  • the predetermined stimulus is adapted to saturate the sensor such that the first signal is a maximum signal.
  • a sensor When a sensor is such that it can be saturated by a sufficiently large stimulus, it can be preferable to use this phenomenon in calibrating the sensor as it enables a reproducible first predetermined stimulus, i.e. a saturation stimulus to be provided in all cases, thereby removing uncertainty as to whether the means for providing a predetermined stimulus will in fact achieve exactly the right level of uncertainty.
  • a reproducible first predetermined stimulus i.e. a saturation stimulus
  • the method according to the invention further comprises the steps of providing a second predetermined stimulus to the sensor so as to produce a second sensor signal and measuring the second sensor signal, such that the determination of the calibration function is based on the first and second measured sensor signals.
  • the second sensor signal is a base line signal measured when substantially no analyte is in the vicinity of the sensor.
  • a base line signal in combination with a saturation signal is preferred as this enables the sensor to be calibrated for all useful signals, and these two endpoints can enable the sensor reaction to be extrapolated for intermediate points.
  • the second predetermined stimulus is provided by consuming substantially all of the analyte in the vicinity of the sensor.
  • the consumption of analyte in the vicinity of the needle causes the sensor to generate a base line signal which is attributable only to factors other than the presence of analyte (e.g. extraneous substances which generate false analyte measurements, residual background signals generated by the sensor, etc.).
  • the analyte is measured by the sensor by means of an electrochemical reaction, with the sensor forming part of an electrical circuit, and the analyte is consumed by providing a current through the circuit which causes the analyte to undergo the electrochemical reaction, with the measurement of the second sensor signal being carried out shortly after the analyte is consumed.
  • the advantage of this method of consuming analyte is that the apparatus required to consume the analyte can be the same apparatus which is present in any event as part of the sensor and associated components.
  • the first and second signals constitute known points on a measured performance curve describing the measured performance of the sensor
  • the calibration function correlates the measured performance curve with a theoretical sensor performance curve for which there is stored a calibrated output, such that any further sensor signal measurement from the sensor can be calibrated by correlating the point on the measured performance curve to which the measurement relates with a corresponding point on the theoretical sensor performance curve, and hence with the corresponding calibrated output.
  • the theoretical sensor performance curve can be determined during the design of the sensor, can be measured for individual sensors during production, or can be measured for a manufactured batch of sensors on a statistical basis. Two curves having basic common parameters (such as a common shape) can thus be correlated to one another by comparing known points on each curve and extrapolating for subsequently measured points.
  • the known points on a curve describing the measured performance of the sensor are endpoints of the curve. If the curve has a well defined shape, two endpoints may enable the intervening points to be calculated with accuracy. Indeed if one of the endpoints is always exactly zero (as in the case of a linear curve whose only variable is the slope), then a single saturation endpoint may describe the entire curve mathematically.
  • a particularly preferred analyte is glucose.
  • the advantages of having a reliable alternative method of measuring glucose in vivo are plain given the number of diabetics for whom blood sampling tests several times daily are a fact of life.
  • the most common method of blood sampling currently in use is a procedure in which the skin must be punctured on every occasion.
  • the use of a continuous monitoring system was hampered by calibration difficulties, and so the present invention provides a way of removing this difficulty.
  • the invention thus provides also a method of measuring an analyte in vivo comprising the steps of applying a sensor to a subject, calibrating the sensor according to the invention, and providing a calibrated output of any further measurements made by the sensor based on the calibration function.
  • the invention provides a device for the in vivo measurement of an analyte, comprising:
  • an in vivo sensor for measuring the analyte and providing a signal in response to the measurement of the analyte;
  • this device is adapted to carry out the calibration method discussed above, and therefore has many of the same advantages associated therewith. Further features of such a device are set out below, the advantages of which will in many cases also be apparent from the above discussion.
  • the means for providing a first predetermined stimulus to the sensor comprises a supply of material associated with the sensor such when the sensor is applied to a subject, the sensor is sensitive to the material.
  • the supply of material is associated with a permeable protective coating provided on the sensor.
  • the supply of material is provided in an amount sufficient to saturate the sensor and thereby generate a maximum signal which can be used to calibrate the sensor.
  • the senor comprises an element which is adapted to be inserted subcutaneously, intradermally, intravenously or by surgical implantation into the subject, and the supply of material is provided on the sensor in soluble form.
  • the sensor can be provided in the form of a needle on a device which can be affixed to the skin painlessly and worn unobtrusively, such that the sensor penetrates the skin to a predetermined depth.
  • Presently preferred devices of this type comprise a housing having a lower surface for application to the skin of a subject, the sensor being in the form of a needle extending from the housing such that the sensor penetrates the skin of the subject when the device is applied thereto.
  • means are provided for generating a base line signal corresponding to the signal obtained when substantially no analyte is present in the vicinity of the needle, and the base line signal is used to calibrate the sensor.
  • the means for generating a base line signal comprises a voltage generator which forms part of the electronic circuitry, and the base line signal is provided by passing a current in the vicinity of the needle which eliminates the analyte or a chemical substance used in the measurement of the analyte.
  • the analyte to be detected by the device is glucose.
  • the invention also provides a method for the in vivo testing of an analyte sensor which is provided to a subject as an electrode of an electrical circuit, comprising the steps of: (a) applying a potential to the electrode and varying the electrode potential so as to cause the electrode current to undergo at least part of a cycle which exhibits hysteresis;
  • the shape of a hysteresis cycle for the electrode will change, and if a characteristic point on such a cycle has been identified when the sensor is operating correctly, deterioration of the sensor may be identified by a change in the current-voltage response at such a characteristic point.
  • the characteristic point is a nodal point on the hysteresis curve, with the nodal point preferably defined as a voltage for which the current value is independent of the analyte concentration in the vicinity of the sensor when the sensor is operating correctly.
  • steps (a)-(e) of the method of testing the sensor needle are repeated periodically. This allows the sensor to be repeatedly tested while in use, thereby monitoring the sensor for deviations from the expected performance.
  • an initial iteration of steps (a)-(d) yields a value for the characteristic point which is stored for comparative subsequent use.
  • the initial iteration is repeated a plurality of times shortly after the sensor has been applied to the subject, and a supply of the analyte to be measured is provided to the sensor in varying concentrations during the repetition of the iterations.
  • the analyte is supplied on the sensor in such a manner that it is released upon application of the sensor to the subject, and wherein the varying concentrations of analyte are achieved by consuming the analyte in a reaction or allowing the analyte to diffuse within the body of the subject.
  • the determination of a characteristic point can be carried out at the time that the sensor is being calibrated in vivo, since as described above the in vivo calibration may employ varying levels in analyte concentration at the sensor, and these varying analyte levels also enable the current-voltage response to be measured at different analyte levels as part of repeated hysteresis cycles.
  • the method suitably comprises the further step of providing an indicator if it is determined that the sensor does not meet the predetermined condition.
  • the indicator comprises an audible alarm.
  • the invention provides a device for the in vivo measurement of an analyte, comprising: (a) an in vivo sensor for measuring the analyte and providing a signal in response to the measurement of the analyte;
  • (f) means for comparing the characteristic point with a stored value and for determining from this comparison whether the sensor meets a predetermined condition.
  • Such a device is adapted for use in the testing method according to the invention and the advantages of this testing method as set out above also apply in large part to the corresponding device, as well as to many of the preferred features set out below.
  • the characteristic point is a nodal point on the hysteresis curve
  • the nodal point is preferably defined as a voltage for which the current value on the hysteresis curve is independent of the analyte concentration in the vicinity of the sensor when the sensor is functioning correctly.
  • the device preferably comprises a memory for storing the value of a characteristic point determined on an initial iteration of measurements of current values.
  • a further preferred feature is means for providing an alarm if it is determined that the sensor does not meet the predetermined condition.
  • the invention provides, in another aspect, a method for the in vivo measurement of an analyte, comprising:
  • water is the chemical species present in the vicinity of the sensor which is electrolysed to provide oxygen.
  • step (b) continues for a duration sufficient to generate oxygen in an excess stoichiometric ratio relative to the analyte being measured at the sensor.
  • oxygen generating pulses can be interleaved with the measurement pulses to ensure that at all times a sufficient amount of oxygen is present.
  • the invention also provides a device for the in vivo measurement of an analyte, comprising:
  • any of the devices according to the invention there may suitably be provided means for delivering a substance to the subject in response to the measured analyte values.
  • the device may comprise a pump containing insulin which may be pumped at a controllable rate in response to measured glucose levels.
  • a pump containing insulin which may be pumped at a controllable rate in response to measured glucose levels.
  • the principles of operation of such a pump will be known to the person skilled in the art. and suitable examples are disclosed in WO 96/14026. incorporated herein by reference.
  • the substance is a medicament suitable to correct a condition in the patient for which the analyte is an indicating agent.
  • the invention further provides a device for calibrating an analyte sensor in vivo, comprising:
  • the means for providing the first predetermined stimulus comprises a supply of material to which the sensor is sensitive, such that the material stimulates the sensor when the sensor is applied to a subject.
  • the material is soluble in biological fluids present in the area of the subject to which the sensor is applied.
  • the material comprises an analyte or a precursor or derivative thereof.
  • the predetermined stimulus is adapted to saturate the sensor such that the first signal is a maximum signal.
  • the device further comprises means for providing a second predetermined stimulus to the sensor so as to produce a second sensor signal and means for measuring the second sensor signal, such that the means for determination of the calibration function determines a calibration function based on the first and second measured sensor signals.
  • the second sensor signal is a base line signal measured when substantially no analyte is in the vicinity of the sensor.
  • the second predetermined stimulus is provided by consuming substantially all of the analyte in the vicinity of the sensor.
  • the first and second signals constitute known points on a measured performance curve describing the measured performance of the sensor
  • the calibration function correlates the measured performance curve with a theoretical sensor performance curve for which there is stored a calibrated output, such that any further sensor signal measurement from the sensor can be calibrated by correlating the point on the measured performance curve to which the measurement relates with a corresponding point on the theoretical sensor performance curve, and hence with the corresponding calibrated output.
  • the known points on a curve describing the measured performance of the sensor are endpoints of the curve.
  • the invention also provides a device for measuring an analyte in vivo comprising means for applying a sensor to a subject, means for calibrating the sensor according to the method of the present invention, and means for providing a calibrated output of any further measurements made by the sensor based on the calibration function.
  • Fig. 1 A is a schematic diagram of an analyte monitor device according to the invention.
  • Fig. 1 B is a schematic diagram of a display unit adapted for use with the monitor device of Fig. 1A;
  • Fig. 2 is a view of the underside of the monitor device of Fig. 1A;
  • Fig. 3 is an enlarged elevation of the sensor needle of the monitor device of Fig. 1A;
  • Figs. 4A-4C are graphical representations of in vivo glucose levels in the vicinity of the sensor needle immediately after the monitor device of Fig. 1A is applied to a subject, the measured electrode current during the same period, and the applied electrode voltage during the same period, respectively;
  • Fig. 5 is a plot of electrode current versus analyte concentration for an analyte monitor device according to the invention in three different environments
  • Fig. 6 is a plot of electrode current versus analyte concentration for an analyte monitor device according to the invention in two different environments;
  • Fig. 7 is a graphical representation of applied electrode voltage and measured electrode current for an analyte monitor device according to the invention.
  • Fig. 8 is a comparative plot of electrode current against glucose concentration illustrating the effect of generating oxygen in vivo using a method according to the invention
  • Figs. 9 and 10 each show a series of current-voltage hysteresis cycles measured at a number of different glucose concentrations using a method according to the invention, together with a current-voltage hysteresis cycle for the same sensor after sensor deterioration;
  • Fig. 1 1 is a plot of in vivo glucose concentration against time measured in tests carried out on a dog, comparing the results obtained using a device according to the invention as compared with standard reference tests;
  • Fig. 12 is a sectional elevation of an embodiment of a device according to the invention before final assembly by the user;
  • Fig. 13 is a sectional elevation of the device of Fig. 12 after final assembly
  • Fig. 13A is an enlarged detail of the device of Fig. 13:
  • Fig. 14 is an elevation of an alternative construction of sensor needle to that shown in Fig. 3 Modes for Carrying Out the Invention
  • Fig. 1 A is a schematic illustration of an analyte monitor device for the in vivo measurement of an analyte according to the invention.
  • Fig. IB is a schematic illustration of a display unit, associated with the monitor device of Fig. 1 A, for providing a visual output of the measured analyte levels.
  • the monitor device of Fig. 1A indicated generally at 10, comprises a housing 1 1 separable into a first part 12 and a second part 13.
  • the second part 13 of housing 11 has a lower surface 14 which is provided with a working electrode 15, a counter electrode 16 and a reference electrode 17.
  • the device 10 is adhered to the skin of a subject by means of a conductive adhesive gel on the surfaces of counter electrode 16 and reference electrode 17.
  • Working electrode 15 is a platinum-iridium enzymatic sensor in the form of a needle the detailed structure of which will be described in detail below.
  • Counter electrode 16 and reference electrode 17 are each in the form of a silver/silver chloride surface makes good electrical contact with the subject's skin by means of the adhesive gel thereon.
  • the electrodes 15,16,17 are connected to a microprocessor 18 via a voltage controller 19.
  • Voltage controller 19 is adapted to supply constant voltages, pulsed voltages or varying voltages between the working electrode 15 and reference electrode 16. The voltage is controlled by the microprocessor 18, and both microprocessor 18 and voltage controller 19 are powered by a battery 20.
  • a switch in the form of a push button 21 is used to stop or start the operation of the device, and an alarm 22 is provided to alert the user in the event of glucose levels being excessively high or low.
  • the alarm 22 may also be used for a variety of other functions, such as to alert the user in the event of device malfunction or low battery levels, for example.
  • the monitor device 10 of Fig. 1A communicates with the display unit of Fig. I B by means of a low power radio transmitter 23.
  • the display unit of Fig. I B indicated generally at 24, is provided with a corresponding radio receiver 25, a visual LCD display 26, and a battery 27 to power the unit 24. Measured analyte levels from measuring device 10 can thus be transmitted to display unit 24.
  • Fig. 2 shows a view of the underside of monitor 10.
  • working electrode 15 i.e. the enzymatic sensor needle
  • counter electrode 16 and reference electrode 17, respectively are represented by two approximately semi-circular cross hatched areas.
  • the lower surface 14 is provided with a suitable adhesive to hold device 10 securely in place against the subject's skin.
  • the enzymatic sensor needle 15 is shown in Fig. 3 in elevation.
  • the platinum-iridium needle 15 has a plurality of apertures 28 which contain the enzyme glucose oxidase 29.
  • the glucose oxidase enzyme 29 is thus recessed from the surface of the needle 15 in order to protect the enzyme 29 from being physically damaged, for example, when the needle 15 punctures the skin of a patient.
  • a protective membrane 30 is provided on the surface of the needle 15, with an external coating of glucose 31 which is used for the purpose of calibrating the needle in vivo, as will be described below.
  • Membrane 30 is glucose-permeable and oxygen-permeable, but it is more permeable to oxygen than to glucose. This selective permeability helps to ensure that oxygen is in excess of glucose for the purpose of ensuring that the rate of reaction is not limited by an insufficient oxygen supply. This problem is discussed in more detail below.
  • Suitable membrane materials include polyurethane, Nafion ("Nafion" is a Trade Mark for a perflourinated ion-exchange membrane), cellulose materials or polysiloxanes.
  • Fig. 3 two dimensions are shown, namely the length / of the needle 15 and the diameter d of the needle 15. Suitable dimensions are a needle length 26 of 5 mm and a needle diameter 27 of 0.3 mm, although it will be appreciated that a wide variety of dimensions can be employed as required.
  • the basic principle of operation of the monitor device 10 is as follows.
  • the monitor device 10 (comprising reusable first part 12, which includes the electronic controlling circuitry, and disposable second part 13, which includes the enzymatic sensor needle 15) is applied to a subject by removing a release liner (not shown) which protects adhesive lower surface 14 and sensor needle 15 before use. and then pressing lower surface 14 against the skin of a subject so that sensor needle 15 penetrates the skin of the subject and enters the subcutaneous region where it is in contact with subcutaneous tissue.
  • the silver/silver chloride electrodes 16 and 17 lie in contact with the skin of the subject by means of their adhesive conductive coatings.
  • the display unit 24 is worn on the wrist of the subject or is located in some other suitable location (such as by a bedside or in a nurse's station to allow monitoring by third parties of a patient's condition).
  • glucose in the blood, plasma or serum present in the subcutaneous region diffuses through protective membrane 30 as do oxygen and water.
  • the glucose (C 6 H 12 0 6 ), oxygen (0 2 ) and water (H 2 0) react in the presence of the glucose oxidase according to the reaction:
  • the hydrogen peroxide produced at the surface of the platinum- iridium needle is oxidised (the platinum acts as a catalyst) according to the reaction:
  • the hydrogen peroxide serves as a source of electrons which are free to act as charge carriers if a potential is applied between the working electrode (sensor needle) 15 and the counter electrode 16.
  • the microprocessor 18 causes the voltage controller 19 to apply a voltage to the working electrode 15.
  • the magnitude of the voltage is determined as a potential difference between the working electrode 15 and the reference electrode 17. However, no current flows between these two electrodes and instead the current flows through the counter electrode 16 (which is at the same potential as the reference electrode 17).
  • the circuit is a potentiostat, and the skilled person will be aware that this means that an accurate voltage can be applied to the working electrode relative to the counter-electrode, independent of the resistance between the electrodes, which might be expected to vary in individual cases.
  • the microprocessor 18 measures the current flowing through the circuit of which the working electrode 15 and the counter electrode 16 form a part thereof. Since this current can only flow if free charge carriers are present, the current provides a measure of the number of charge carrying species in the vicinity of the working electrode 15. The majority of the current arises from the free electrons which are generated by the breakdown of hydrogen peroxide at the platinum (or platinum-iridium) needle surface. As described in WO 96/14026, the voltage is only applied periodically between the working electrode 15 and the counter electrode 16. While the voltage between the working electrode and counter electrode is switched off, glucose reacts continuously with oxygen and water to generate increasing amounts of hydrogen peroxide at the sensor needle 15.
  • the measured contribution of charge carriers which arise from the breakdown of hydrogen peroxide is maximised relative to other charge carriers which might be present in the tissue of the user.
  • Such other charge carriers give rise to a background level of current which is essentially constant over short periods of time.
  • the measured current is integrated by the microprocessor 18 to provide a measure of the total charge giving rise to the measured current: If Q represents the total charge of the combined charge carriers in a current flowing from 0 to t seconds, then:
  • the batch of sensor needles of which sensor needle 15 forms a part thereof will have been calibrated in the factory. This is most usually achieved by taking a statistically representative sample of needles from a production batch, carrying out a laboratory calibration (using a standard glucose solution, for example) and applying the results of this calibration for all of the needles in the batch (presuming that the batch appears to be of acceptable quality.
  • the calibration of this batch can be encoded on second part 13 of the monitor device 10.
  • this is achieved by using a machine readable encoding system (such as a bar code or a simple chip containing the calibration parameters) which is automatically read by the microprocessor when the first part 12 and the second part 13 are connected together, or when start button 21 is actuated.
  • the sensor needle may have undergone some changes during storage, and thus the calibration function determined during a laboratory test may not be entirely accurate when a needle is in use in vivo. More importantly, the interface between the needle and the surrounding body tissue will always give rise to at least slight variations between the performance of otherwise identical sensor needles because of differences between individuals and between individual application sites on the same individual.
  • Figs. 4A-4C are three graphs illustrating: (Fig. 4A) the in vivo glucose level for an interval of time immediately after the sensor needle 15 has been applied to the body; (Fig. 4B) the measured electrode current over the same interval; and (Fig. 4C) the periodic voltage pulses (which are generated by the voltage controller 19 under the control of microprocessor 18) applied to the electrodes and which give rise to the measured current shown in Fig. 4B.
  • the glucose level will be initially above level G,, the initial higher level is not shown as it is only the saturation level which can be measured by the sensor and which is of importance for the calibration method.
  • Signal I is stored in the memory of the microprocessor 18 as a first sensor signal.
  • a prolonged pulse V 9 is applied which consumes all of the charge carriers at the sensor needle 15 due to hydrogen peroxide breakdown, i.e. giving a current signal I 9 which drops from a measure of the equilibrium glucose level G 2 to a measure of the background charge carrier level G 3 which is due to extraneous influences.
  • Signal I 9 is also recorded by the microprocessor for calibration purposes.
  • Fig. 5 shows a plot of the characteristic performance curves of three different sensor needles from the same batch.
  • the graph shows the signal measured in the case of each needle at different analyte concentrations:
  • Curve 40 is the theoretical or laboratory-calibrated performance curve measured in the manufacturing facility for the batch of sensor needles. This curve is the mean calibration curve for the batch of needles, measured from tests carried out on a statistically valid sample.
  • Curve 41 is the measured performance curve of a first sensor needle in vivo and curve 42 is the measured performance curve of a second sensor needle in vivo.
  • the in vivo needle represented by curve 41 is calibrated as follows: shortly after it is applied to the subject, a maximum sensor signal 41a is measured as described above (I,). The amount of glucose provided on the sensor needle is sufficient to ensure that this signal will lie in the saturation region. As further described above, periodic pulses are then applied to the needle and this causes substantially all of the excess glucose in the vicinity of the needle to be consumed until the equilibrium glucose level G 2 is reached, following which a prolonged voltage pulse causes the glucose concentration to drop to a base line level (G 3 ). At this point the second sensor signal 41b is measured as described above (I 9 ).
  • the microprocessor compares each of these signals 41a, 41b with the corresponding signals on the theoretical or laboratory-measured signal-concentration curve 40 i.e. signal 41a is compared with signal 40a and signal 41 b is compared with signal 40b.
  • the calibration curve 41 for the in vivo sensor needle can be mapped onto the theoretical calibration curve 40 by mapping two known points on curve 41 to two known points on curve 40. In the case of both curves, the saturated signal value and the base line signal value has been measured, so a calibration function mapping any intermediate point from curve 41 onto curve 40 is easily derived.
  • the calibration function involves increasing all signals by an amount corresponding to the constant vertical distance between curves 40 and 41.
  • the microprocessor calculates the corresponding point 40c and provides, as an output which is transmitted to the display unit, the calibrated measurement corresponding to point 40c which can then be displayed in meaningful units.
  • the same basic principles apply to the calibration of the individual sensor needle which has characteristic measured curve 42.
  • the calibration function must take into account the fact that the difference between the saturation signals 40a, 42a is considerably less than the difference between the base line signals 40b, 42b.
  • the microprocessor in order to map a measured point 42c onto the corresponding point 40c on theoretical curve 40, the microprocessor must apply a concentration-dependent calibration function in which the amount added to (or subtracted from) the measured signal 42c, when mapping this signal to point 40c, varies in accordance with the position of this point along curve 42c.
  • the microprocessor may be programmed to sound an alarm to indicate that the sensor is apparently defective and should not be used.
  • Fig. 6 shows an example of the results of the calibration process achieved in an experimental trial.
  • a calibrated reference curve 45 obtained by calibration of the sensor needle in vitro
  • end points 45a saturation
  • 45b base line
  • a measured curve 46 is extrapolated by measuring saturation and base line end points 46a, 46b, respectively. From these measurements it is determined that the measured (in vivo) curve lies a constant 0.03 mA below the reference (laboratory calibrated) curve.
  • a subsequent measurement 46c of 0.38 mA can then be correlated to a value of 0.41 mA on the reference curve, which in turn corresponds to a glucose concentration of 4 mM (72 mg/dlit).
  • glucose concentration is shown on a logarithmic scale in which each equal step along the scale represents a doubling of glucose concentration. For this reason, it can be seen that the calibration function is extremely important, since a reading of 0.38 mA would otherwise be interpreted (from the reference curve) as relating to a glucose concentration of only slightly more than 3 mM.
  • the correct operation of the sensor presupposes that all of the glucose present in the vicinity of the glucose oxidase will react (at least up to the point where the sensor needle is saturated).
  • the rate of reaction is, in theory, limited by the amount of glucose (and thus this reaction can be used to measure glucose).
  • oxygen may become the limiting factor in the reaction, rather than glucose. The result of this is that the current level will provide an indication of the amount of oxygen rather than the amount of glucose.
  • Fig. 7 A solution to this problem is illustrated in Fig. 7, in which the voltage is provided in two repeating series of pulses, namely a series of current measurement pulses 50 and a series of oxygen-generating pulses 51.
  • the series of current measurement pulses 50 of 0.6 V is used to measure current resulting from the hydrogen peroxide breakdown.
  • the microprocessor measures the resulting electrode current 53 when these 0.6 V pulses are applied, and integrates the measured current 53 over the duration of the pulse to obtain a measurement of the charge carriers involved in the current pulse.
  • the number of charge carriers is primarily determined by the amount of hydrogen peroxide generated by the reaction of glucose with oxygen and water.
  • Each current pulse 53 is shown with a shaded area 54 which represents the additional current obtained by allowing the hydrogen peroxide to build up using a pulsatile measurement mode.
  • the blank area 55 below shaded area 54 corresponds to the steady state current which would be obtained if there was no pulsatile measurement but instead there was a steady state measuring voltage.
  • the series of oxygen-generating pulses 51 of 1.3 V is provided such that each 1.3 V pulse 51 immediately follows after a current measurement pulse 50.
  • These oxygen-generating pulses 51 of 1.3 V serve to generate oxygen by electrolytically breaking down water. This generates a sufficient amount of oxygen to ensure that oxygen is in excess of glucose in the vicinity of the sensor needle, and it therefore follows that glucose is the limiting factor in the measurement process, ensuring an accurate measurement of glucose.
  • the voltage is switched off for a period 52 of time to allow the glucose to react with the oxygen in the presence of glucose oxidase and produce hydrogen peroxide.
  • the hydrogen peroxide breaks down at the needle 15 and when the current is switched on there is a current surge (as shown in the top half of the graph) which falls away to a base line level.
  • the time periods indicated in Fig. 7 are not shown to scale.
  • Representative times for the current measurement pulses 50 are preferably 0.0 Is- 1.0s, most preferably approximately 0.1s; for the oxygen-generating pulses 51 the time is also preferably 0.0 Is- 1.0s, most preferably approximately 0.1s; and for the accumulation period 52 between the end of an oxygen-generating pulse 51 and the next current measurement pulse 50, the gap is preferably 0.05s- 10s, most preferably approximately 1.0s. These times are given for reference purposes only, and depending on the particular circumstances, times lying outside these ranges may be suitable.
  • Fig. 8 shows the results of using a series of oxygen-generating pulse as described above.
  • Curve 60 shows the average electrode current generated by a sensor such as sensor needle 15 at increasing glucose concentrations up to 16 mM.
  • Curve 61 shows the current generated when an oxygen-generating pulse is included in the cycle. It can be seen that this causes a dramatic increase in the maximum level of current obtainable, as well as in the current range corresponding to the range of glucose concentrations illustrated. The advantage of having a larger current range is that a more accurate measurement of the glucose concentration becomes possible.
  • the invention encompasses a method for the in vivo testing of an analyte sensor which is provided to a subject as an electrode of an electrical circuit.
  • Fig. 9 illustrates how this method operates.
  • Fig. 9 five current- voltage (I-V) characteristic curves are plotted.
  • the curves show the current response to a cyclically varying voltage.
  • the voltage is varied in each case through a cycle from 0.0 V to 0.58 V.
  • each of the I-V characteristic curves 70-73 exhibits hysteresis, i.e. the current values for the increasing voltage part of the each I-V curve are different to the current values for the decreasing voltage part of each curve.
  • the current measured at 0.4 V for the background level curve 73 has two different values.
  • the current measured at 0.4 V is approximately -0.25 mA (denoted at 73a).
  • the voltage has reached 0.58 V and is decreased down to 0 V, it again passes through the level of 0.4 V. but a different current is measured, namely +0.5 mA (denoted at 731>).
  • the four measured I-V curves 70-73 intersect: at a voltage of 0.26 V on the increasing part of each of the curves 70-73 (nodal point denoted at 74), the measured current level is -0.4 mA for all concentrations of glucose; and at a voltage of 0.12 V on the decreasing part of each of the curves 70-73 (nodal point denoted at 75), the measured current level is +0.35 mA for all concentrations of glucose.
  • Curve 76 is the I-V characteristic for the same needle after it has deteriorated somewhat.
  • the most normal reason for needle deterioration in vivo is that the surface of the needle becomes coated with protein such as fibrin by the body. Any coating on the surface of the needle may adversely affect the reliability of the sensor needle, and so deterioration of the sensor needle used in the measurement of curves 70-73 has been simulated by the addition of a light coating of cellulose acetate.
  • the needle is then reinserted into the subject and the cyclical I- V measurement is repeated to give curve 76.
  • the microprocessor calculates a series of I-V curves 70-73 as the glucose level falls from the saturation level to the background level, and by comparing these curves, obtains and stores a value for one or more nodal points 74,75 at which the glucose level has no effect on the current- voltage response for a correctly functioning sensor.
  • the microprocessor Periodically thereafter (e.g. every 30 minutes or every hour), the microprocessor repeats the cyclical electrode voltage variation, and measures the current response. The current values at the voltages where nodal points were previously measured are then compared to the expected values, and any significant deviation indicates a deterioration in the functioning of the microprocessor.
  • the microprocessor may be programmed to sound an alarm if the measured current differs from the expected nodal point value by e.g. 10% or more. Thus, the user will be alerted in good time if the sensor needle requires replacement.
  • Fig. 10 shows a repetition of the measurements illustrated in Fig. 9, with curves 80, 81, 82 and 83 being I-V curves measured as the glucose concentration drops from a saturation level to a base line level. Nodal points 84 and 85 are easily identifiable. However, in this case instead of applying a coating of cellulose acetate, a coating of polyvinyl pyrrolidone (PVP) was used, and the resulting I-V curve 86 is plotted.
  • PVP polyvinyl pyrrolidone
  • Fig. 1 1 shows measurement results achieved with a glucose monitor according to the invention when compared to a reference average.
  • a glucose monitor according to the invention
  • Open triangles indicate points at which glucose was delivered.
  • the line joining the small diamonds shows the glucose concentration in mg/dlit and the line joining the large squares indicates the corresponding measurements made using electrodes according to the invention.
  • the reference line (small diamonds) is obtained from an average of four conventional glucose measurement tests, namely two analyses conducted by independent veterinary or medical laboratories, and two commercially available glucose testing kits ("Medisense' " and "Elite”).
  • the line denoting glucose monitors according to the invention was obtained from an average of three electrodes of the type illustrated in Fig. 3. It can be seen from these results that glucose monitors according to the invention closely mimic conventional methods of monitoring glucose levels.
  • the reference line was obtained from the average of four tests using fresh whole blood samples from the cardiovascular system whereas the sensor according to the present invention was monitoring the glucose levels in subcutaneous tissue. Accordingly, while one expects to see an almost immediate increase in glucose levels in the intravenous system after glucose is administered intravenously, one expects to see a delay when the glucose measurement is made subcutaneously. Furthermore, one expects the sharp peaks and troughs measurable in blood samples to be smoothed out or averaged slightly in subcutaneous tissue because of the delay involved in blood diffusing into such tissue.
  • Fig. 12 shows a schematic illustration of a needle deployment mechanism which can be used for an analyte monitor according to the invention.
  • the embodiment of Fig. 12 is based on the embodiment discussed above in relation to Figs. 1 -3, and like parts are denoted by like reference numerals.
  • the device 10 includes a first part 12 and a second part 13.
  • Second part 13 has a lower surface 14 on which a reference electrode 16 and a counter electrode 17 are situated.
  • a deployment mechanism, indicated generally at 90 carries sensor needle 15 which acts as a working electrode.
  • Deployment mechanism 90 comprises a generally cylindrical casing 91 extending from second part 13.
  • a platform 92 is movably mounted in casing 90, platform 92 carrying needle 15 on the underside thereof.
  • Lower surface 14 of second part 13 is provided with an aperture 93 through which needle 15 can extend when platform 92 is caused to move downwards to the position shown in Fig. 13.
  • first part 12 of device 10 can be mated with second part 13 by means of an annular recess 94 in second part 13 which received cylindrical casing 91.
  • Annular recess 94 defines a cylindrical projection 95 in the centre thereof. Cylindrical projection 95 causes platform 92 to be pushed downwards within cylindrical casing 91 when first part 12 is mated to second part 13.
  • a spring 96 which biases platform 92 upwards resists the mating of first part 12 to second part 13, but a snap-fit mechanism defined by a lip 97 (see also Fig.
  • first part 12 and second part 13 are each provided with the requisite electrical connections (not shown) to connect the electrodes 15-17 to the electronic controlling circuitry provided in second part 13.
  • the second part 13 can be a reusable electronic controller module and first part 12 can be a disposable electrode module.
  • a release button 99 is provided on the second part 13.
  • Fig. 13A shows a detail of the device 10 in which a lip 97, groove 98 and release button 99 can be seen more clearly.
  • the release button 99 is provided with a sloped surface 100 such that when the release button 99 is pushed towards the right, the sloped surface 100 exerts a downward force on the first part 12 to release the lip 97 from the groove 98. This allows the first part 12 to disengage from the second part 13, the disengagement being assisted by the spring 96 which tends to bias the platform 92 away from the lower surface 14.
  • the second part 13 can be provided with means for displaying the measured analyte level and/or with alarm means for indicating that the analyte level has passed beyond a pre-programmed limit.
  • the controller can be provided with a transmitter which transmits a suitable signal to a remote receiver which is provided with a display. This allows the monitor to warn the user discreetly, with the display being readable from a wristwatch-type display unit.
  • Fig. 14 shows an alternative construction of a sensor needle, indicated generally at 1 10, in which the platinum-iridium needle of Fig. 3 is replaced by a stainless steel needle shaft 11 1 on which a coating of platinum black 112 (otherwise referred to as colloidal platinum) is provided, with glucose oxidase enzyme embedded in the platinum black coating 112.
  • This platinum black coating is coated by a protective polyurethane membrane 1 13 and this in turn is provided with a soluble glucose coating 114.
  • the operation of the sensor needle 1 10 is essentially identical to that of the sensor needle 15 of Fig. 3, i.e. glucose reacts with oxygen and water in the presence of the enzyme embedded in the platinum black coating 1 12, thereby producing hydrogen peroxide which is catalysed by the colloidal platinum to provide free electrons.

Abstract

A method of calibrating an analyte sensor in vivo, which involves providing a supply of the analyte to the subject in the vicinity of the sensor, preferably as a soluble coating on the sensor, so as to saturate the sensor and obtain a maximum signal (46a), causing the analyte in the vicinity of the sensor to be consumed so as to obtain a base line signal (46b), and calculating a calibration function to translate the measured saturation and base line signals (46a, 46b) to corresponding points (45a, 45b) on a laboratory calibrated reference curve (45). This calibration function is subsequently used to translate any measured point (46c) on the actual in vivo performance curve (46) of the sensor to the corresponding point (45c) on the laboratory calibrated reference curve (45), to thereby obtain a calibrated output for the sensor in vivo taking account of the conditions found in use.

Description

Description
Methods of calibrating and testing a sensor for in vivo measurement of an analyte and devices for use in such methods
Technical Field
This invention relates to devices and methods for measuring an analyte in vivo, and in particular to sensors for use in such devices and methods.
Background Art
Our WO 96/14026, incorporated herein by reference, describes an analyte-controlled liquid delivery device and analyte monitor in which an analyte such as glucose is detected by a platinum-iridium sensor needle having an enzymatic coating such as glucose oxidase. The sensor needle is typically located on a housing having a lower surface for application to the skin of a subject. Glucose in the presence of the enzymatic coating undergoes a reaction with oxygen, and one of the by-products of the reaction is hydrogen peroxide. This in turn is broken down by the platinum in the sensor needle which forms an electrode of an electrical circuit. The level of concentration of glucose is proportional to the magnitude of the current. Thus, the magnitude of the current through the electrical circuit can be used to determine the concentration of glucose.
It has been found that when enzymatic sensors are mass-produced (like many other products), there are slight variations between batches, although individual sensors in each batch are identical. Accordingly to avoid errors in measurements made using such sensors, each production batch can be calibrated.
One method of calibrating such sensors is to use them to measure a standard solution of the analyte for which they are intended, and thereby determining the signal strength achieved from a known concentration of analyte. By making one or more measurements in this way for a statistically valid sample of sensors in a batch it is possible to determine a calibration function which can in theory be used to derive the analyte concentration in vivo from the measured signal.
However, due to the sensitive nature of enzymes, the performance of a sensor may vary over the shelf life of the sensor. Additionally, when the sensor is actually used, it is in a different environment from that in which the batch was calibrated. The sensor will form part of a system in use which is partly biological and which will vary between individual subjects. For example, the laboratory batch calibration function may not take account of the presence of unwanted substances in vivo which give a false background signal.
For these reasons, it has been found that sensors characterised by a laboratory batch calibration are unsatisfactory because such calibration does not permit the performance of the sensor in vivo to be accurately predicted in all cases.
It is thus an object of the present invention to provide a quick and accurate method of in vivo calibration of an analyte sensor.
A further problem associated with enzymatic sensors is that they are subject to a deterioration in performance. This can happen as a result of the enzymatic material being physically or chemically degraded, or as a result of a build up of biological material on the sensor, for example. In WO 96/14026, incorporated herein by reference, a method of detecting a decrease in the performance level of a sensor is disclosed. In this method, a pulsatile sampling technique is used in which pulses of current are detected at or about a peak value and at or about a base line value. The ratio of the two measured currents was found to be independent of the concentration of the analyte being measured, such that if this ratio was found to change over time, one could deduce that the performance of the sensor had changed in some way (usually due to degradation). The present invention seeks to provide an alternative and more reliable method of monitoring sensor performance and degradation.
The present invention seeks to provide an alternative method of testing a sensor to detect changes in the sensor performance.
In measuring an analyte by means of a chemical or electrochemical reaction which requires oxygen, difficulties can arise when the measurement must be carried out in vivo. The quantity of dissolved oxygen in the blood or tissue at the location of the sensor may not be sufficient. If there is an insufficient supply of oxygen, then the rate of reaction of the analyte (and hence the detected level of analyte) may be limited by the available oxygen. This can give rise to false readings which are potentially extremely dangerous, such as in cases where the measured analyte level is used as the basis for the possible administration of a therapeutic agent.
In the case of glucose, this could lead to a diabetic patient being measured as having normal glucose levels when in fact glucose levels had increased to a point where insulin is required to reduce those levels. An error in detection of the glucose level can therefore give rise to problems and indeed dangers to diabetic patients. The same is also true in respect of other substances for which there is a medical need for in vivo analysis and measurement. For these reasons, it is clearly advantageous and important to improve the performance and accuracy of such devices and sensors.
Disclosure of Invention
Accordingly, the invention provides a method of calibrating an analyte sensor in vivo, comprising the steps of:
(a) providing a first predetermined stimulus to the sensor when the sensor is applied to a subject so as to produce a first sensor signal; (b) measuring the first sensor signal; and (c) determining a calibration function based on the first measured sensor signal resulting from the predetermined stimulus, whereby the calibration function when applied to further signals received from the sensor can be used to provide a calibrated output.
The provision of a predetermined stimulus in vivo enables the sensor response to be calibrated, since the theoretical response of the sensor to such a stimulus can be determined beforehand. Accordingly, the method according to the invention provides a way of using the response attained from a predetermined stimulus to evaluate the response to subsequent stimuli, i.e. actual measurements recorded by the sensor in vivo, taking into account the condition of the sensor and the conditions encountered in use.
Preferably, the first predetermined stimulus is generated by providing a supply of material to which the sensor is sensitive, such that the material stimulates the sensor when the sensor is applied to a subject.
By supplying a material to which the sensor is sensitive, one can reliably generate a stimulus for the sensor which can be accurately predetermined beforehand.
Suitably, the material is provided in the vicinity of the sensor in a form in which it is soluble in biological fluids present in the area of the subject to which the sensor is applied.
A soluble material will be released to the sensor upon application to the body, and since the speed of dissolution and the transport of dissolved material in the body can be accurately predicted, so can the time at which the material reaches the sensor and the concentration of material thereby encountered by the sensor.
In preferred embodiments, the material comprises an analyte or a precursor or derivative thereof. The important factor is that the sensor generates a reliable response to whichever material is chosen, but by choosing the analyte or a closely related substance as the relevant material, a relatively simple sensor which is only required to be sensitive to one substance or a small range of substances can be used. As a further example, instead of using the analyte to be detected, one could choose a salt of the analyte which exhibits a high solubility in vivo.
Suitably, the predetermined stimulus is adapted to saturate the sensor such that the first signal is a maximum signal.
When a sensor is such that it can be saturated by a sufficiently large stimulus, it can be preferable to use this phenomenon in calibrating the sensor as it enables a reproducible first predetermined stimulus, i.e. a saturation stimulus to be provided in all cases, thereby removing uncertainty as to whether the means for providing a predetermined stimulus will in fact achieve exactly the right level of uncertainty.
In preferred embodiments, the method according to the invention further comprises the steps of providing a second predetermined stimulus to the sensor so as to produce a second sensor signal and measuring the second sensor signal, such that the determination of the calibration function is based on the first and second measured sensor signals.
It has been found that a more accurate calibration is achieved when two signals are received from predetermined stimuli, as this generally allows the sensor to be calibrated over a working range with accuracy.
Preferably, the second sensor signal is a base line signal measured when substantially no analyte is in the vicinity of the sensor.
The use of a base line signal in combination with a saturation signal is preferred as this enables the sensor to be calibrated for all useful signals, and these two endpoints can enable the sensor reaction to be extrapolated for intermediate points.
Suitably, the second predetermined stimulus is provided by consuming substantially all of the analyte in the vicinity of the sensor.
The consumption of analyte in the vicinity of the needle causes the sensor to generate a base line signal which is attributable only to factors other than the presence of analyte (e.g. extraneous substances which generate false analyte measurements, residual background signals generated by the sensor, etc.).
Preferably, the analyte is measured by the sensor by means of an electrochemical reaction, with the sensor forming part of an electrical circuit, and the analyte is consumed by providing a current through the circuit which causes the analyte to undergo the electrochemical reaction, with the measurement of the second sensor signal being carried out shortly after the analyte is consumed.
The advantage of this method of consuming analyte is that the apparatus required to consume the analyte can be the same apparatus which is present in any event as part of the sensor and associated components.
Preferably, the first and second signals constitute known points on a measured performance curve describing the measured performance of the sensor, and the calibration function correlates the measured performance curve with a theoretical sensor performance curve for which there is stored a calibrated output, such that any further sensor signal measurement from the sensor can be calibrated by correlating the point on the measured performance curve to which the measurement relates with a corresponding point on the theoretical sensor performance curve, and hence with the corresponding calibrated output. The theoretical sensor performance curve can be determined during the design of the sensor, can be measured for individual sensors during production, or can be measured for a manufactured batch of sensors on a statistical basis. Two curves having basic common parameters (such as a common shape) can thus be correlated to one another by comparing known points on each curve and extrapolating for subsequently measured points.
Preferably, the known points on a curve describing the measured performance of the sensor are endpoints of the curve. If the curve has a well defined shape, two endpoints may enable the intervening points to be calculated with accuracy. Indeed if one of the endpoints is always exactly zero (as in the case of a linear curve whose only variable is the slope), then a single saturation endpoint may describe the entire curve mathematically.
As will be further described below, a particularly preferred analyte is glucose. The advantages of having a reliable alternative method of measuring glucose in vivo are plain given the number of diabetics for whom blood sampling tests several times daily are a fact of life. The most common method of blood sampling currently in use is a procedure in which the skin must be punctured on every occasion. Until now, the use of a continuous monitoring system was hampered by calibration difficulties, and so the present invention provides a way of removing this difficulty.
The invention thus provides also a method of measuring an analyte in vivo comprising the steps of applying a sensor to a subject, calibrating the sensor according to the invention, and providing a calibrated output of any further measurements made by the sensor based on the calibration function.
In another aspect, the invention provides a device for the in vivo measurement of an analyte, comprising:
(a) an in vivo sensor for measuring the analyte and providing a signal in response to the measurement of the analyte; (b) means for providing a first predetermined stimulus to the sensor when the sensor is applied to a subject so as to produce a first sensor signal; and
(c) electronic circuitry associated with the sensor for receiving the signal and providing a calibrated output based on the signal, wherein the electronic circuitry includes means for determining a calibration function for the sensor based on the first measured sensor signal resulting from the predetermined stimulus; such that the function when applied to further signals received from the sensor can be used to provide a calibrated output.
As the skilled person will appreciate, this device is adapted to carry out the calibration method discussed above, and therefore has many of the same advantages associated therewith. Further features of such a device are set out below, the advantages of which will in many cases also be apparent from the above discussion.
Preferably, the means for providing a first predetermined stimulus to the sensor comprises a supply of material associated with the sensor such when the sensor is applied to a subject, the sensor is sensitive to the material.
Further, preferably, the supply of material is associated with a permeable protective coating provided on the sensor.
In a preferred embodiment, the supply of material is provided in an amount sufficient to saturate the sensor and thereby generate a maximum signal which can be used to calibrate the sensor.
Preferably, the sensor comprises an element which is adapted to be inserted subcutaneously, intradermally, intravenously or by surgical implantation into the subject, and the supply of material is provided on the sensor in soluble form. Thus, the sensor can be provided in the form of a needle on a device which can be affixed to the skin painlessly and worn unobtrusively, such that the sensor penetrates the skin to a predetermined depth. By choosing the site at which the device is to be affixed, a good degree of uniformity between individuals is ensured.
Presently preferred devices of this type comprise a housing having a lower surface for application to the skin of a subject, the sensor being in the form of a needle extending from the housing such that the sensor penetrates the skin of the subject when the device is applied thereto.
Suitably, means are provided for generating a base line signal corresponding to the signal obtained when substantially no analyte is present in the vicinity of the needle, and the base line signal is used to calibrate the sensor.
Preferably, the means for generating a base line signal comprises a voltage generator which forms part of the electronic circuitry, and the base line signal is provided by passing a current in the vicinity of the needle which eliminates the analyte or a chemical substance used in the measurement of the analyte.
Further, preferably, the analyte to be detected by the device is glucose.
The invention also provides a method for the in vivo testing of an analyte sensor which is provided to a subject as an electrode of an electrical circuit, comprising the steps of: (a) applying a potential to the electrode and varying the electrode potential so as to cause the electrode current to undergo at least part of a cycle which exhibits hysteresis;
(b) measuring and recording a plurality of current values on the hysteresis cycle; (c) calculating a characteristic point on the hysteresis curve from the plurality of current values; and
(e) comparing the characteristic point with a stored value and determining from this comparison whether the sensor meets a predetermined condition.
It has been found that degradation of an electrode in use is in many cases accompanied by changes in the current-voltage response of the electrical circuit of which the electrode forms part. At any given voltage (e.g. the voltage used in the measurement of the analyte), such changes could be interpreted as a change in analyte levels.
Surprisingly, however, the shape of a hysteresis cycle for the electrode will change, and if a characteristic point on such a cycle has been identified when the sensor is operating correctly, deterioration of the sensor may be identified by a change in the current-voltage response at such a characteristic point.
Suitably, the characteristic point is a nodal point on the hysteresis curve, with the nodal point preferably defined as a voltage for which the current value is independent of the analyte concentration in the vicinity of the sensor when the sensor is operating correctly.
Suitably, steps (a)-(e) of the method of testing the sensor needle are repeated periodically. This allows the sensor to be repeatedly tested while in use, thereby monitoring the sensor for deviations from the expected performance.
Preferably, an initial iteration of steps (a)-(d) yields a value for the characteristic point which is stored for comparative subsequent use.
Thus, rather than using a laboratory calibration to determine the characteristic point(s), this can be done in vivo for a more accurate determination.
Further, preferably, the initial iteration is repeated a plurality of times shortly after the sensor has been applied to the subject, and a supply of the analyte to be measured is provided to the sensor in varying concentrations during the repetition of the iterations.
Most preferably, the analyte is supplied on the sensor in such a manner that it is released upon application of the sensor to the subject, and wherein the varying concentrations of analyte are achieved by consuming the analyte in a reaction or allowing the analyte to diffuse within the body of the subject.
In this manner, the determination of a characteristic point can be carried out at the time that the sensor is being calibrated in vivo, since as described above the in vivo calibration may employ varying levels in analyte concentration at the sensor, and these varying analyte levels also enable the current-voltage response to be measured at different analyte levels as part of repeated hysteresis cycles.
The method suitably comprises the further step of providing an indicator if it is determined that the sensor does not meet the predetermined condition. Preferably, the indicator comprises an audible alarm.
In another aspect, the invention provides a device for the in vivo measurement of an analyte, comprising: (a) an in vivo sensor for measuring the analyte and providing a signal in response to the measurement of the analyte;
(b) electronic circuitry associated with the sensor for receiving the signal and providing a calibrated output based on the signal;
(c) an electrical circuit in which the sensor acts as an electrode, the electrical circuit comprising means for energising the electrode to a predetermined potential and for measuring and recording the resultant current through the electrode;
(d) means for varying the electrode potential so as to cause the current to undergo at least part of a hysteresis cycle; (e) means for calculating a characteristic point on the hysteresis curve from the recorded current measurements; and
(f) means for comparing the characteristic point with a stored value and for determining from this comparison whether the sensor meets a predetermined condition.
Such a device is adapted for use in the testing method according to the invention and the advantages of this testing method as set out above also apply in large part to the corresponding device, as well as to many of the preferred features set out below.
Thus, preferably, the characteristic point is a nodal point on the hysteresis curve, and the nodal point is preferably defined as a voltage for which the current value on the hysteresis curve is independent of the analyte concentration in the vicinity of the sensor when the sensor is functioning correctly.
The device preferably comprises a memory for storing the value of a characteristic point determined on an initial iteration of measurements of current values.
A further preferred feature is means for providing an alarm if it is determined that the sensor does not meet the predetermined condition.
The invention provides, in another aspect, a method for the in vivo measurement of an analyte, comprising:
(a) providing an in vivo sensor, which acts as an electrode of an electrical circuit, to a subject for measuring the analyte, wherein the operation of the sensor is dependent on a reaction in which oxygen is required;
(b) passing a voltage through the electrode, the voltage being of a magnitude and duration sufficient to cause the electrolysis of a chemical species present in the vicinity of the sensor so as to generate oxygen; (c) measuring the signal produced by the sensor in response to the oxygen-dependent reaction; and
(d) repeating steps (b) and (c) periodically.
The use of electrolysis of a substance to generate oxygen can overcome the problems of a deficiency in oxygen inside the body, and thereby increase the accuracy of the sensor. It effectively raises the maximum level of analyte measurable where a lack of oxygen is the limiting factor in analyte measurement.
Preferably, water is the chemical species present in the vicinity of the sensor which is electrolysed to provide oxygen.
Preferably, step (b) continues for a duration sufficient to generate oxygen in an excess stoichiometric ratio relative to the analyte being measured at the sensor. Thus, if the measurement of analyte is achieved by a pulsatile sampling technique, oxygen generating pulses can be interleaved with the measurement pulses to ensure that at all times a sufficient amount of oxygen is present.
The invention also provides a device for the in vivo measurement of an analyte, comprising:
(a) an in vivo sensor for measuring the analyte and providing a signal in response to the measurement of the analyte, wherein the operation of the sensor is dependent on a reaction in which oxygen is required;
(b) electronic circuitry associated with the sensor for receiving the signal and providing a calibrated output based on the signal; (c) an electrical circuit in which the sensor acts as an electrode, the electrical circuit comprising means for energising the electrode to a voltage which is of a magnitude and duration sufficient to cause the electrolysis of a chemical species present in the vicinity of the sensor to provide oxygen; and (d) means for alternately generating oxygen by electrolysis and measuring the analyte by allowing the generated oxygen to take part in the reaction.
For any of the devices according to the invention, there may suitably be provided means for delivering a substance to the subject in response to the measured analyte values.
Thus, the device may comprise a pump containing insulin which may be pumped at a controllable rate in response to measured glucose levels. The principles of operation of such a pump will be known to the person skilled in the art. and suitable examples are disclosed in WO 96/14026. incorporated herein by reference.
Preferably the substance is a medicament suitable to correct a condition in the patient for which the analyte is an indicating agent.
The invention further provides a device for calibrating an analyte sensor in vivo, comprising:
(a) a sensor for application to a subject;
(b) means for providing a first predetermined stimulus to the sensor to produce a first sensor signal;
(c) means for measuring the first sensor signal; and (d) means for determining a calibration function based on the first measured sensor signal resulting from the predetermined stimulus, whereby the calibration function when applied to further signals received from the sensor can be used to provide a calibrated output.
Preferably, the means for providing the first predetermined stimulus comprises a supply of material to which the sensor is sensitive, such that the material stimulates the sensor when the sensor is applied to a subject. Further, preferably, the material is soluble in biological fluids present in the area of the subject to which the sensor is applied.
Suitably, the material comprises an analyte or a precursor or derivative thereof.
Preferably, the predetermined stimulus is adapted to saturate the sensor such that the first signal is a maximum signal.
In preferred embodiments, the device further comprises means for providing a second predetermined stimulus to the sensor so as to produce a second sensor signal and means for measuring the second sensor signal, such that the means for determination of the calibration function determines a calibration function based on the first and second measured sensor signals.
Preferably, the second sensor signal is a base line signal measured when substantially no analyte is in the vicinity of the sensor.
Suitably, the second predetermined stimulus is provided by consuming substantially all of the analyte in the vicinity of the sensor.
Preferably, the first and second signals constitute known points on a measured performance curve describing the measured performance of the sensor, and the calibration function correlates the measured performance curve with a theoretical sensor performance curve for which there is stored a calibrated output, such that any further sensor signal measurement from the sensor can be calibrated by correlating the point on the measured performance curve to which the measurement relates with a corresponding point on the theoretical sensor performance curve, and hence with the corresponding calibrated output.
Preferably, the known points on a curve describing the measured performance of the sensor are endpoints of the curve. The invention also provides a device for measuring an analyte in vivo comprising means for applying a sensor to a subject, means for calibrating the sensor according to the method of the present invention, and means for providing a calibrated output of any further measurements made by the sensor based on the calibration function.
The invention will be further illustrated by the following description of embodiments thereof, given by way of example only with reference to the accompanying drawings.
Brief Description of Drawings
Fig. 1 A is a schematic diagram of an analyte monitor device according to the invention;
Fig. 1 B is a schematic diagram of a display unit adapted for use with the monitor device of Fig. 1A;
Fig. 2 is a view of the underside of the monitor device of Fig. 1A;
Fig. 3 is an enlarged elevation of the sensor needle of the monitor device of Fig. 1A;
Figs. 4A-4C are graphical representations of in vivo glucose levels in the vicinity of the sensor needle immediately after the monitor device of Fig. 1A is applied to a subject, the measured electrode current during the same period, and the applied electrode voltage during the same period, respectively;
Fig. 5 is a plot of electrode current versus analyte concentration for an analyte monitor device according to the invention in three different environments; Fig. 6 is a plot of electrode current versus analyte concentration for an analyte monitor device according to the invention in two different environments;
Fig. 7 is a graphical representation of applied electrode voltage and measured electrode current for an analyte monitor device according to the invention;
Fig. 8 is a comparative plot of electrode current against glucose concentration illustrating the effect of generating oxygen in vivo using a method according to the invention;
Figs. 9 and 10 each show a series of current-voltage hysteresis cycles measured at a number of different glucose concentrations using a method according to the invention, together with a current-voltage hysteresis cycle for the same sensor after sensor deterioration;
Fig. 1 1 is a plot of in vivo glucose concentration against time measured in tests carried out on a dog, comparing the results obtained using a device according to the invention as compared with standard reference tests;
Fig. 12 is a sectional elevation of an embodiment of a device according to the invention before final assembly by the user;
Fig. 13 is a sectional elevation of the device of Fig. 12 after final assembly;
Fig. 13A is an enlarged detail of the device of Fig. 13: and
Fig. 14 is an elevation of an alternative construction of sensor needle to that shown in Fig. 3 Modes for Carrying Out the Invention
Fig. 1 A is a schematic illustration of an analyte monitor device for the in vivo measurement of an analyte according to the invention. Fig. IB is a schematic illustration of a display unit, associated with the monitor device of Fig. 1 A, for providing a visual output of the measured analyte levels.
The monitor device of Fig. 1A, indicated generally at 10, comprises a housing 1 1 separable into a first part 12 and a second part 13. The second part 13 of housing 11 has a lower surface 14 which is provided with a working electrode 15, a counter electrode 16 and a reference electrode 17. The device 10 is adhered to the skin of a subject by means of a conductive adhesive gel on the surfaces of counter electrode 16 and reference electrode 17.
Working electrode 15 is a platinum-iridium enzymatic sensor in the form of a needle the detailed structure of which will be described in detail below. Counter electrode 16 and reference electrode 17 are each in the form of a silver/silver chloride surface makes good electrical contact with the subject's skin by means of the adhesive gel thereon.
The electrodes 15,16,17 are connected to a microprocessor 18 via a voltage controller 19. Voltage controller 19 is adapted to supply constant voltages, pulsed voltages or varying voltages between the working electrode 15 and reference electrode 16. The voltage is controlled by the microprocessor 18, and both microprocessor 18 and voltage controller 19 are powered by a battery 20. A switch in the form of a push button 21 is used to stop or start the operation of the device, and an alarm 22 is provided to alert the user in the event of glucose levels being excessively high or low. The alarm 22 may also be used for a variety of other functions, such as to alert the user in the event of device malfunction or low battery levels, for example.
The monitor device 10 of Fig. 1A communicates with the display unit of Fig. I B by means of a low power radio transmitter 23. The display unit of Fig. I B, indicated generally at 24, is provided with a corresponding radio receiver 25, a visual LCD display 26, and a battery 27 to power the unit 24. Measured analyte levels from measuring device 10 can thus be transmitted to display unit 24.
Fig. 2 shows a view of the underside of monitor 10. Thus, lower surface 14 of second part 13 is seen with working electrode 15 (i.e. the enzymatic sensor needle) in the centre. On either side, the counter electrode 16 and reference electrode 17, respectively, are represented by two approximately semi-circular cross hatched areas. The lower surface 14 is provided with a suitable adhesive to hold device 10 securely in place against the subject's skin.
The enzymatic sensor needle 15 is shown in Fig. 3 in elevation. The platinum-iridium needle 15 has a plurality of apertures 28 which contain the enzyme glucose oxidase 29. The glucose oxidase enzyme 29 is thus recessed from the surface of the needle 15 in order to protect the enzyme 29 from being physically damaged, for example, when the needle 15 punctures the skin of a patient.
A protective membrane 30 is provided on the surface of the needle 15, with an external coating of glucose 31 which is used for the purpose of calibrating the needle in vivo, as will be described below.
Membrane 30 is glucose-permeable and oxygen-permeable, but it is more permeable to oxygen than to glucose. This selective permeability helps to ensure that oxygen is in excess of glucose for the purpose of ensuring that the rate of reaction is not limited by an insufficient oxygen supply. This problem is discussed in more detail below. Suitable membrane materials include polyurethane, Nafion ("Nafion" is a Trade Mark for a perflourinated ion-exchange membrane), cellulose materials or polysiloxanes.
An alternative construction to that discussed above (protective membrane coated with glucose) is provided in which the protective membrane is applied with soluble glucose particles embedded therein. Upon application to a subject, the glucose dissolves to leave pores in the membrane. The size and distribution of the glucose particles is chosen beforehand to ensure that the pores provide the selective permeability to oxygen discussed above.
In Fig. 3, two dimensions are shown, namely the length / of the needle 15 and the diameter d of the needle 15. Suitable dimensions are a needle length 26 of 5 mm and a needle diameter 27 of 0.3 mm, although it will be appreciated that a wide variety of dimensions can be employed as required.
Operation of the device
The basic principle of operation of the monitor device 10 is as follows. The monitor device 10 (comprising reusable first part 12, which includes the electronic controlling circuitry, and disposable second part 13, which includes the enzymatic sensor needle 15) is applied to a subject by removing a release liner (not shown) which protects adhesive lower surface 14 and sensor needle 15 before use. and then pressing lower surface 14 against the skin of a subject so that sensor needle 15 penetrates the skin of the subject and enters the subcutaneous region where it is in contact with subcutaneous tissue. The silver/silver chloride electrodes 16 and 17 lie in contact with the skin of the subject by means of their adhesive conductive coatings. The display unit 24 is worn on the wrist of the subject or is located in some other suitable location (such as by a bedside or in a nurse's station to allow monitoring by third parties of a patient's condition).
In use, glucose in the blood, plasma or serum present in the subcutaneous region diffuses through protective membrane 30 as do oxygen and water. The glucose (C6H1206), oxygen (02) and water (H20) react in the presence of the glucose oxidase according to the reaction:
H1206 + 02 + H20 → C6H1207 + H202 , thereby producing gluconic acid (C6H1207) and hydrogen peroxide (H202) at the sensor needle 15. Accordingly, the rate of hydrogen peroxide generation at platinum-iridium needle 15 is theoretically proportional to the concentration of glucose in the bloodstream.
The hydrogen peroxide produced at the surface of the platinum- iridium needle is oxidised (the platinum acts as a catalyst) according to the reaction:
H202 → 02 + 2H+ + 2e".
Thus, the hydrogen peroxide serves as a source of electrons which are free to act as charge carriers if a potential is applied between the working electrode (sensor needle) 15 and the counter electrode 16.
The microprocessor 18 causes the voltage controller 19 to apply a voltage to the working electrode 15. The magnitude of the voltage is determined as a potential difference between the working electrode 15 and the reference electrode 17. However, no current flows between these two electrodes and instead the current flows through the counter electrode 16 (which is at the same potential as the reference electrode 17). In effect the circuit is a potentiostat, and the skilled person will be aware that this means that an accurate voltage can be applied to the working electrode relative to the counter-electrode, independent of the resistance between the electrodes, which might be expected to vary in individual cases.
Thus, when a voltage is applied to the working electrode 15, the microprocessor 18 measures the current flowing through the circuit of which the working electrode 15 and the counter electrode 16 form a part thereof. Since this current can only flow if free charge carriers are present, the current provides a measure of the number of charge carrying species in the vicinity of the working electrode 15. The majority of the current arises from the free electrons which are generated by the breakdown of hydrogen peroxide at the platinum (or platinum-iridium) needle surface. As described in WO 96/14026, the voltage is only applied periodically between the working electrode 15 and the counter electrode 16. While the voltage between the working electrode and counter electrode is switched off, glucose reacts continuously with oxygen and water to generate increasing amounts of hydrogen peroxide at the sensor needle 15. By then applying a potential after it has been switched off for a given interval, all of the electrons generated by the hydrogen peroxide built up during the "off interval are removed in a short burst of current which quickly decays to a steady state level, i.e. the level which would be detected if the voltage was applied continuously rather than intermittently.
By switching the voltage off and on repeatedly to allow a build up of hydrogen peroxide during the "off* interval and measuring accumulated hydrogen peroxide during the "on" interval, the measured contribution of charge carriers which arise from the breakdown of hydrogen peroxide is maximised relative to other charge carriers which might be present in the tissue of the user. Such other charge carriers give rise to a background level of current which is essentially constant over short periods of time.
The measured current is integrated by the microprocessor 18 to provide a measure of the total charge giving rise to the measured current: If Q represents the total charge of the combined charge carriers in a current flowing from 0 to t seconds, then:
1 I . dt Q
Thus, by integrating the current over the duration of the applied voltage, an uncalibrated measure of the glucose concentration in the bloodstream is provided. The integration of a current pulse will be discussed further below having regard to Fig. 7. While this type of enzymatic sensor needle has been described in relation to glucose, the principles may also be applied to other enzymatic sensors for detecting analytes other than glucose.
In vivo calibration
The batch of sensor needles of which sensor needle 15 forms a part thereof will have been calibrated in the factory. This is most usually achieved by taking a statistically representative sample of needles from a production batch, carrying out a laboratory calibration (using a standard glucose solution, for example) and applying the results of this calibration for all of the needles in the batch (presuming that the batch appears to be of acceptable quality. The calibration of this batch can be encoded on second part 13 of the monitor device 10. Preferably, this is achieved by using a machine readable encoding system (such as a bar code or a simple chip containing the calibration parameters) which is automatically read by the microprocessor when the first part 12 and the second part 13 are connected together, or when start button 21 is actuated.
As discussed above, however, the sensor needle may have undergone some changes during storage, and thus the calibration function determined during a laboratory test may not be entirely accurate when a needle is in use in vivo. More importantly, the interface between the needle and the surrounding body tissue will always give rise to at least slight variations between the performance of otherwise identical sensor needles because of differences between individuals and between individual application sites on the same individual.
Therefore, a further calibration occurs in vivo as follows. When the needle 15 enters the body, the glucose coating 31 dissolves almost immediately and saturates the glucose oxidase enzyme 29. The microprocessor provides a voltage to the electrodes and measures the resulting current. Because the enzyme is saturated by glucose, this first measured signal is a saturated or maximum measurable signal. Figs. 4A-4C are three graphs illustrating: (Fig. 4A) the in vivo glucose level for an interval of time immediately after the sensor needle 15 has been applied to the body; (Fig. 4B) the measured electrode current over the same interval; and (Fig. 4C) the periodic voltage pulses (which are generated by the voltage controller 19 under the control of microprocessor 18) applied to the electrodes and which give rise to the measured current shown in Fig. 4B.
A voltage V, (Fig. 4C) applied at time t, gives a current I, (Fig. 4B) which corresponds to the saturation level G, (Fig. 4A) of the enzyme. Although the glucose level will be initially above level G,, the initial higher level is not shown as it is only the saturation level which can be measured by the sensor and which is of importance for the calibration method. Signal I, is stored in the memory of the microprocessor 18 as a first sensor signal.
Subsequent pulses V2, V3, V4, etc. give rise to progressively lower signals I2, I3, I4, etc. as the glucose diffuses away from the sensor needle 15 and is consumed in reaction with oxygen and water. The microprocessor 18 monitors the lowering signals until signals I7 and I8 are observed to be substantially equal. This indicates that glucose level G2 is the equilibrium glucose level, i.e. the concentration of glucose in the subcutaneous tissue of the patient at this time.
At this point, a prolonged pulse V9 is applied which consumes all of the charge carriers at the sensor needle 15 due to hydrogen peroxide breakdown, i.e. giving a current signal I9 which drops from a measure of the equilibrium glucose level G2 to a measure of the background charge carrier level G3 which is due to extraneous influences. Signal I9 is also recorded by the microprocessor for calibration purposes.
After recording the first sensor calibration signal I, and the second sensor calibration signal I9 the microprocessor resumes the intermittent pulsing VI 0, V, ,, etc. The scale and number of individual pulses in Fig. 7 relative to the overall timescale is not accurate, since a period of 5- 10 minutes might typically be expected for the dissolution of glucose and its subsequent elimination by diffusion and enzymatic breakdown. During this time, a large number of pulses of short duration would be measured in practice.
When the first and second calibration signals I, and I9 have been measured, the calibration function for this particular sensor needle 15 in this particular environment is calculated, and this can be explained with reference to Fig. 5.
Fig. 5 shows a plot of the characteristic performance curves of three different sensor needles from the same batch. The graph shows the signal measured in the case of each needle at different analyte concentrations:
Curve 40 is the theoretical or laboratory-calibrated performance curve measured in the manufacturing facility for the batch of sensor needles. This curve is the mean calibration curve for the batch of needles, measured from tests carried out on a statistically valid sample.
Curve 41 is the measured performance curve of a first sensor needle in vivo and curve 42 is the measured performance curve of a second sensor needle in vivo.
It will be seen that for each curve 40,41,42 there is a well- defined increase in signal strength for increasing analyte concentration. However, at a certain point the needle becomes saturated, and beyond this point, the signal strength does not increase with increasing analyte concentration.
The in vivo needle represented by curve 41 is calibrated as follows: shortly after it is applied to the subject, a maximum sensor signal 41a is measured as described above (I,). The amount of glucose provided on the sensor needle is sufficient to ensure that this signal will lie in the saturation region. As further described above, periodic pulses are then applied to the needle and this causes substantially all of the excess glucose in the vicinity of the needle to be consumed until the equilibrium glucose level G2 is reached, following which a prolonged voltage pulse causes the glucose concentration to drop to a base line level (G3). At this point the second sensor signal 41b is measured as described above (I9).
The microprocessor compares each of these signals 41a, 41b with the corresponding signals on the theoretical or laboratory-measured signal-concentration curve 40 i.e. signal 41a is compared with signal 40a and signal 41 b is compared with signal 40b.
Since it is known that the calibration curves for needles from the same batch will all have the same basic shape, the calibration curve 41 for the in vivo sensor needle can be mapped onto the theoretical calibration curve 40 by mapping two known points on curve 41 to two known points on curve 40. In the case of both curves, the saturated signal value and the base line signal value has been measured, so a calibration function mapping any intermediate point from curve 41 onto curve 40 is easily derived.
Since the calibration parameters are encoded in the factory on the second part of the device, instructions are already provided for the microprocessor to calculate a calibrated output for any given point on the theoretical (laboratory measured) curve 40. The calculation of a calibration function mapping curve 41 onto curve 40 provides complete information for the microprocessor to provide a calibrated output for any subsequent measured signal which lies on curve 41.
In the case of curve 41 , the calibration function involves increasing all signals by an amount corresponding to the constant vertical distance between curves 40 and 41. Thus, when a signal 41c is measured, the microprocessor calculates the corresponding point 40c and provides, as an output which is transmitted to the display unit, the calibrated measurement corresponding to point 40c which can then be displayed in meaningful units.
The same basic principles apply to the calibration of the individual sensor needle which has characteristic measured curve 42. However, the calibration function must take into account the fact that the difference between the saturation signals 40a, 42a is considerably less than the difference between the base line signals 40b, 42b. Thus, in order to map a measured point 42c onto the corresponding point 40c on theoretical curve 40, the microprocessor must apply a concentration-dependent calibration function in which the amount added to (or subtracted from) the measured signal 42c, when mapping this signal to point 40c, varies in accordance with the position of this point along curve 42c. Nevertheless, it will be appreciated that the similarity in basic shape between all three curves 40,41 ,42 makes the mapping of any measured curve to the theoretical curve a relatively simple operation, in which it is possible to deduce the mapping of the entire curve from a small number of measurements.
In certain cases it may be possible to use only one measurement. For example, if all sensors in a batch must provide a zero output whenever there is a zero level of analyte (no background signal), then a regular curve can be mapped onto the theoretical curve from only one measured point. Conversely, it may be desirable to employ three or more measurements in the calibration if sufficient accuracy cannot be obtained using two points.
The above-described calibration method enables expected variations in sensor behaviour to be compensated for. If the measurements are outside a given range (e.g. ± 30% of the laboratory measured values) the microprocessor may be programmed to sound an alarm to indicate that the sensor is apparently defective and should not be used.
Fig. 6 shows an example of the results of the calibration process achieved in an experimental trial. A calibrated reference curve 45 (obtained by calibration of the sensor needle in vitro) is shown, with end points 45a (saturation) and 45b (base line) as shown. A measured curve 46 is extrapolated by measuring saturation and base line end points 46a, 46b, respectively. From these measurements it is determined that the measured (in vivo) curve lies a constant 0.03 mA below the reference (laboratory calibrated) curve. Thus, a subsequent measurement 46c of 0.38 mA can then be correlated to a value of 0.41 mA on the reference curve, which in turn corresponds to a glucose concentration of 4 mM (72 mg/dlit).
It should be noted that the glucose concentration is shown on a logarithmic scale in which each equal step along the scale represents a doubling of glucose concentration. For this reason, it can be seen that the calibration function is extremely important, since a reading of 0.38 mA would otherwise be interpreted (from the reference curve) as relating to a glucose concentration of only slightly more than 3 mM.
In vivo oxygen generation
As can be seen from the chemical equation for the glucose/oxygen/water reaction set out above, the correct operation of the sensor presupposes that all of the glucose present in the vicinity of the glucose oxidase will react (at least up to the point where the sensor needle is saturated). The rate of reaction is, in theory, limited by the amount of glucose (and thus this reaction can be used to measure glucose). However, if in practice there is a lack of oxygen, then oxygen may become the limiting factor in the reaction, rather than glucose. The result of this is that the current level will provide an indication of the amount of oxygen rather than the amount of glucose.
A solution to this problem is illustrated in Fig. 7, in which the voltage is provided in two repeating series of pulses, namely a series of current measurement pulses 50 and a series of oxygen-generating pulses 51. The series of current measurement pulses 50 of 0.6 V is used to measure current resulting from the hydrogen peroxide breakdown. The microprocessor measures the resulting electrode current 53 when these 0.6 V pulses are applied, and integrates the measured current 53 over the duration of the pulse to obtain a measurement of the charge carriers involved in the current pulse. As previously explained, the number of charge carriers is primarily determined by the amount of hydrogen peroxide generated by the reaction of glucose with oxygen and water. Each current pulse 53 is shown with a shaded area 54 which represents the additional current obtained by allowing the hydrogen peroxide to build up using a pulsatile measurement mode. The blank area 55 below shaded area 54 corresponds to the steady state current which would be obtained if there was no pulsatile measurement but instead there was a steady state measuring voltage.
In addition to the current measurement pulses 50, the series of oxygen-generating pulses 51 of 1.3 V is provided such that each 1.3 V pulse 51 immediately follows after a current measurement pulse 50. These oxygen-generating pulses 51 of 1.3 V serve to generate oxygen by electrolytically breaking down water. This generates a sufficient amount of oxygen to ensure that oxygen is in excess of glucose in the vicinity of the sensor needle, and it therefore follows that glucose is the limiting factor in the measurement process, ensuring an accurate measurement of glucose.
During the period when the oxygen generating pulse 51 is being applied across the electrodes, there will be a measurable electrode current which is not shown on the graph for purposes of clarity.
Following the generation of oxygen by an oxygen-generating pulse 51, the voltage is switched off for a period 52 of time to allow the glucose to react with the oxygen in the presence of glucose oxidase and produce hydrogen peroxide. The hydrogen peroxide breaks down at the needle 15 and when the current is switched on there is a current surge (as shown in the top half of the graph) which falls away to a base line level. The time periods indicated in Fig. 7 are not shown to scale. Representative times for the current measurement pulses 50 are preferably 0.0 Is- 1.0s, most preferably approximately 0.1s; for the oxygen-generating pulses 51 the time is also preferably 0.0 Is- 1.0s, most preferably approximately 0.1s; and for the accumulation period 52 between the end of an oxygen-generating pulse 51 and the next current measurement pulse 50, the gap is preferably 0.05s- 10s, most preferably approximately 1.0s. These times are given for reference purposes only, and depending on the particular circumstances, times lying outside these ranges may be suitable.
Fig. 8 shows the results of using a series of oxygen-generating pulse as described above. Curve 60 shows the average electrode current generated by a sensor such as sensor needle 15 at increasing glucose concentrations up to 16 mM. Curve 61 shows the current generated when an oxygen-generating pulse is included in the cycle. It can be seen that this causes a dramatic increase in the maximum level of current obtainable, as well as in the current range corresponding to the range of glucose concentrations illustrated. The advantage of having a larger current range is that a more accurate measurement of the glucose concentration becomes possible.
In vivo testing of sensor
As previously stated, the invention encompasses a method for the in vivo testing of an analyte sensor which is provided to a subject as an electrode of an electrical circuit. Fig. 9 illustrates how this method operates.
In Fig. 9, five current- voltage (I-V) characteristic curves are plotted. The curves show the current response to a cyclically varying voltage. The voltage is varied in each case through a cycle from 0.0 V to 0.58 V.
These cycles were measured in vitro using a sensor needle 15 as shown in Fig. 3. To simulate the in vivo situation in which the glucose level will fall from a saturation level to a background level, the current-voltage measurements were repeated at progressively lower concentrations, i.e. from an initial saturation level to a background level to obtain the I-V characteristics shown in Fig. 9. Curves 70, 71, 72 and 73 respectively are measured atprogressively lower levels of glucose, with curve 73 being measured at a zero level. Each voltage cycle took 20 s and in practice one might measure a hysteresis cycle every 1-2 minutes for 5-15 minutes after application of the device to obtain hysteresis cycles corresponding to a range of glucose concentrations.
As can be seen, each of the I-V characteristic curves 70-73 exhibits hysteresis, i.e. the current values for the increasing voltage part of the each I-V curve are different to the current values for the decreasing voltage part of each curve. For example, the current measured at 0.4 V for the background level curve 73 has two different values. When the voltage is being increased from 0 V to 0.58 V, the current measured at 0.4 V is approximately -0.25 mA (denoted at 73a). After the voltage has reached 0.58 V and is decreased down to 0 V, it again passes through the level of 0.4 V. but a different current is measured, namely +0.5 mA (denoted at 731>).
As one would expect, different I-V characteristics are measured at different glucose concentrations. At two distinct nodal points, however, the four measured I-V curves 70-73 intersect: at a voltage of 0.26 V on the increasing part of each of the curves 70-73 (nodal point denoted at 74), the measured current level is -0.4 mA for all concentrations of glucose; and at a voltage of 0.12 V on the decreasing part of each of the curves 70-73 (nodal point denoted at 75), the measured current level is +0.35 mA for all concentrations of glucose.
Curve 76 is the I-V characteristic for the same needle after it has deteriorated somewhat. The most normal reason for needle deterioration in vivo is that the surface of the needle becomes coated with protein such as fibrin by the body. Any coating on the surface of the needle may adversely affect the reliability of the sensor needle, and so deterioration of the sensor needle used in the measurement of curves 70-73 has been simulated by the addition of a light coating of cellulose acetate. The needle is then reinserted into the subject and the cyclical I- V measurement is repeated to give curve 76.
The effect of this coating is that the shape of curve 76 is distorted such that it does not pass through the nodal points 74,75. While curve 76 passes close to nodal point 74, it is clearly far removed from nodal point 75, i.e. at a (decreasing) voltage of 0.12 V, the current level is approximately 1 mA whereas one would expect that the current level, irrespective of the glucose concentration, would be 0.35 mA.
In use, the microprocessor calculates a series of I-V curves 70-73 as the glucose level falls from the saturation level to the background level, and by comparing these curves, obtains and stores a value for one or more nodal points 74,75 at which the glucose level has no effect on the current- voltage response for a correctly functioning sensor.
Periodically thereafter (e.g. every 30 minutes or every hour), the microprocessor repeats the cyclical electrode voltage variation, and measures the current response. The current values at the voltages where nodal points were previously measured are then compared to the expected values, and any significant deviation indicates a deterioration in the functioning of the microprocessor.
Depending on the degree of accuracy required, the microprocessor may be programmed to sound an alarm if the measured current differs from the expected nodal point value by e.g. 10% or more. Thus, the user will be alerted in good time if the sensor needle requires replacement.
Fig. 10 shows a repetition of the measurements illustrated in Fig. 9, with curves 80, 81, 82 and 83 being I-V curves measured as the glucose concentration drops from a saturation level to a base line level. Nodal points 84 and 85 are easily identifiable. However, in this case instead of applying a coating of cellulose acetate, a coating of polyvinyl pyrrolidone (PVP) was used, and the resulting I-V curve 86 is plotted.
The effect of a PVP coating is more subtle than that of a cellulose acetate coating, in that curve 86 passes directly through nodal point 85. Nevertheless, curve 86 clearly does not pass through nodal point 84, and a difference of at least 0.1 mA can be measured, indicating the presence of the coating.
Fig. 1 1 shows measurement results achieved with a glucose monitor according to the invention when compared to a reference average. Along the bottom of the graph are a series of black squares which indicate points at which insulin was delivered in an in vivo test on dogs. Open triangles indicate points at which glucose was delivered. The line joining the small diamonds shows the glucose concentration in mg/dlit and the line joining the large squares indicates the corresponding measurements made using electrodes according to the invention.
The reference line (small diamonds) is obtained from an average of four conventional glucose measurement tests, namely two analyses conducted by independent veterinary or medical laboratories, and two commercially available glucose testing kits ("Medisense'" and "Elite"). The line denoting glucose monitors according to the invention was obtained from an average of three electrodes of the type illustrated in Fig. 3. It can be seen from these results that glucose monitors according to the invention closely mimic conventional methods of monitoring glucose levels.
The slight differences between the lines for the sensors according to the invention and the reference measurements can be explained by the fact that the reference line was obtained from the average of four tests using fresh whole blood samples from the cardiovascular system whereas the sensor according to the present invention was monitoring the glucose levels in subcutaneous tissue. Accordingly, while one expects to see an almost immediate increase in glucose levels in the intravenous system after glucose is administered intravenously, one expects to see a delay when the glucose measurement is made subcutaneously. Furthermore, one expects the sharp peaks and troughs measurable in blood samples to be smoothed out or averaged slightly in subcutaneous tissue because of the delay involved in blood diffusing into such tissue.
Fig. 12 shows a schematic illustration of a needle deployment mechanism which can be used for an analyte monitor according to the invention. The embodiment of Fig. 12 is based on the embodiment discussed above in relation to Figs. 1 -3, and like parts are denoted by like reference numerals. Thus, the device 10 includes a first part 12 and a second part 13. Second part 13 has a lower surface 14 on which a reference electrode 16 and a counter electrode 17 are situated. A deployment mechanism, indicated generally at 90, carries sensor needle 15 which acts as a working electrode. Deployment mechanism 90 comprises a generally cylindrical casing 91 extending from second part 13. A platform 92 is movably mounted in casing 90, platform 92 carrying needle 15 on the underside thereof. Lower surface 14 of second part 13 is provided with an aperture 93 through which needle 15 can extend when platform 92 is caused to move downwards to the position shown in Fig. 13.
As can be seen from Fig. 13, first part 12 of device 10 can be mated with second part 13 by means of an annular recess 94 in second part 13 which received cylindrical casing 91. Annular recess 94 defines a cylindrical projection 95 in the centre thereof. Cylindrical projection 95 causes platform 92 to be pushed downwards within cylindrical casing 91 when first part 12 is mated to second part 13. A spring 96 which biases platform 92 upwards resists the mating of first part 12 to second part 13, but a snap-fit mechanism defined by a lip 97 (see also Fig. 13A) on first part 12 and a groove 98 on second part 13, groove 98 corresponding to lip 97 such that lip 97 is retained within groove 98 when first part 12 is mated to second part 13 as shown in Fig. 13 A. The first part 12 and second part 13 are each provided with the requisite electrical connections (not shown) to connect the electrodes 15-17 to the electronic controlling circuitry provided in second part 13. Thus, the second part 13 can be a reusable electronic controller module and first part 12 can be a disposable electrode module. In order to replace the disposable electrode module which the first part 12 constitutes, a release button 99 is provided on the second part 13. Fig. 13A shows a detail of the device 10 in which a lip 97, groove 98 and release button 99 can be seen more clearly. The release button 99 is provided with a sloped surface 100 such that when the release button 99 is pushed towards the right, the sloped surface 100 exerts a downward force on the first part 12 to release the lip 97 from the groove 98. This allows the first part 12 to disengage from the second part 13, the disengagement being assisted by the spring 96 which tends to bias the platform 92 away from the lower surface 14.
The second part 13 can be provided with means for displaying the measured analyte level and/or with alarm means for indicating that the analyte level has passed beyond a pre-programmed limit. As an alternative to display means, the controller can be provided with a transmitter which transmits a suitable signal to a remote receiver which is provided with a display. This allows the monitor to warn the user discreetly, with the display being readable from a wristwatch-type display unit.
Fig. 14 shows an alternative construction of a sensor needle, indicated generally at 1 10, in which the platinum-iridium needle of Fig. 3 is replaced by a stainless steel needle shaft 11 1 on which a coating of platinum black 112 (otherwise referred to as colloidal platinum) is provided, with glucose oxidase enzyme embedded in the platinum black coating 112. This platinum black coating is coated by a protective polyurethane membrane 1 13 and this in turn is provided with a soluble glucose coating 114. The operation of the sensor needle 1 10 is essentially identical to that of the sensor needle 15 of Fig. 3, i.e. glucose reacts with oxygen and water in the presence of the enzyme embedded in the platinum black coating 1 12, thereby producing hydrogen peroxide which is catalysed by the colloidal platinum to provide free electrons.
It will be appreciated that the embodiments discussed above are preferred embodiments, falling within the scope of the appended claims, and that various alternative embodiments are contemplated.

Claims

Claims: -
1. A method of calibrating an analyte sensor in vivo, comprising the steps of:
(a) providing a first predetermined stimulus to the sensor when the sensor is applied to a subject so as to produce a first sensor signal;
(b) measuring the first sensor signal; and
(c) determining a calibration function based on the first measured sensor signal resulting from the predetermined stimulus, whereby the calibration function when applied to further signals received from the sensor can be used to provide a calibrated output.
2. A method according to Claim 1 , wherein the first predetermined stimulus is generated by providing a supply of material to which the sensor is sensitive, such that the material stimulates the sensor when the sensor is applied to a subject.
3. A method according to Claim 2, wherein the material is provided in the vicinity of the sensor in a form in which it is soluble in biological fluids present in the area of the subject to which the sensor is applied.
4. A method according to Claim 2 or 3, wherein the material comprises an analyte or a precursor or derivative thereof.
5. A method according to any preceding claim, wherein the predetermined stimulus is adapted to saturate the sensor such that the first signal is a maximum signal.
6. A method according to any preceding claim, further comprising the steps of providing a second predetermined stimulus to the sensor so as to produce a second sensor signal and measuring the second sensor signal, such that the determination of the calibration function is based on the first and second measured sensor signals.
7. A method according to Claim 6, wherein the second sensor signal is a base line signal measured when substantially no analyte is in the vicinity of the sensor.
8. A method according to Claim 7, wherein the second predetermined stimulus is provided by consuming substantially all of the analyte in the vicinity of the sensor.
9. A method according to Claim 8, wherein the analyte is measured by the sensor by means of an electrochemical reaction, with the sensor forming part of an electrical circuit, and wherein the analyte is consumed by providing a current through the circuit which causes the analyte to undergo the electrochemical reaction, with the measurement of the second sensor signal being carried out shortly after the analyte is consumed.
10. A method according to any one of Claims 6-9, wherein the first and second signals constitute known points on a measured performance curve describing the measured performance of the sensor, and wherein the calibration function correlates the measured performance curve with a theoretical sensor performance curve for which there is stored a calibrated output, such that any further sensor signal measurement from the sensor can be calibrated by correlating the point on the measured performance curve to which the measurement relates with a corresponding point on the theoretical sensor performance curve, and hence with the corresponding calibrated output.
1 1. A method according to Claim 10, wherein the known points on a curve describing the measured performance of the sensor are endpoints of the curve.
12. A method according to any preceding claim, wherein the analyte is glucose.
13. A method of measuring an analyte in vivo comprising the steps of applying a sensor to a subject, calibrating the sensor according to tne method of any one of Claims 1 -12, and providing a calibrated output of any further measurements made by the sensor based on the calibration function.
14. A device for the in vivo measurement of an analyte, comprising: (a) an in vivo sensor for measuring the analyte and providing a signal in response to the measurement of the analyte;
(b) means for providing a first predetermined stimulus to the sensor when the sensor is applied to a subject so as to produce a first sensor signal; and (c) electronic circuitry associated with the sensor for receiving the signal and providing a calibrated output based on the signal, wherein the electronic circuitry includes means for determining a calibration function for the sensor based on the first measured sensor signal resulting from the predetermined stimulus; such that the function when applied to further signals received from the sensor can be used to provide a calibrated output.
15. A device according to Claim 14, wherein the means for providing a first predetermined stimulus to the sensor comprises a supply of material associated with the sensor such when the sensor is applied to a subject, the sensor is sensitive to the material.
16. A device according to Claim 15, wherein the supply of material is associated with a permeable protective coating provided on the sensor.
17. A device according to Claim 15 or 16, wherein the supply of material is provided in an amount sufficient to saturate the sensor and thereby generate a maximum signal which can be used to calibrate the sensor.
18. A device according to any one of Claims 15- 17, wherein the sensor comprises an element which is adapted to be inserted subcutaneously, intradermally, intravenously or by surgical implantation into the subject, and wherein the supply of material is provided on the sensor in soluble form.
19. A device according to any one of Claims 15- 18, further comprising a housing having a lower surface for application to the skin of a subject, wherein the sensor is in the form of a needle extending from the housing such that the sensor penetrates the skin of the subject when the device is applied thereto.
20. A device according to any one of Claims 15- 19. wherein means are provided for generating a base line signal corresponding to the signal obtained when substantially no analyte is present in the vicinity of the needle, and wherein the base line signal is used to calibrate the sensor.
21. A device according to Claim 20, wherein the means for generating a base line signal comprises a voltage generator which forms part of the electronic circuitry, and wherein the base line signal is provided by passing a current in the vicinity of the needle which eliminates the analyte or a chemical substance used in the measurement of the analyte.
22. A device according to any one of Claims 15-21 , wherein the analyte is glucose.
23. A method for the in vivo testing of an analyte sensor which is provided to a subject as an electrode of an electrical circuit, comprising the steps of: (a) applying a potential to the electrode and varying the electrode potential so as to cause the electrode current to undergo at least part of a cycle which exhibits hysteresis;
(b) measuring and recording a plurality of current values on the hysteresis cycle;
(c) calculating a characteristic point on the hysteresis curve from the plurality of current values; and
(e) comparing the characteristic point with a stored value and determining from this comparison whether the sensor meets a predetermined condition.
24. A method according to Claim 23, wherein the characteristic point is a nodal point on the hysteresis curve.
25. A method according to Claim 23 or 24, wherein the nodal point is defined as a voltage for which the current value is independent of the analyte concentration in the vicinity of the sensor when the sensor is operating correctly.
26. A method according to any one of Claims 23-25, wherein steps (a)-(e) are repeated periodically.
27. A method according to any one of Claims 23-26, wherein an initial iteration of steps (a)-(d) yields a value for the characteristic point which is stored for comparative subsequent use.
28. A method according to Claim 27, wherein the initial iteration is repeated a plurality of times shortly after the sensor has been applied to the subject, and wherein a supply of the analyte to be measured is provided to the sensor in varying concentrations during the repetition of the iterations.
29. A method according to Claim 28, wherein the analyte is supplied on the sensor in such a manner that it is released upon application of the sensor to the subject, and wherein the varying concentrations of analyte are achieved by consuming the analyte in a reaction or allowing the analyte to diffuse within the body of the subject.
30. A method according to any one of Claims 23-29, further comprising the step of providing an indicator if it is determined that the sensor does not meet the predetermined condition.
31. A method according to Claim 30, wherein the indicator comprises an audible alarm.
32. A device for the in vivo measurement of an analyte, comprising:
(a) an in vivo sensor for measuring the analyte and providing a signal in response to the measurement of the analyte;
(b) electronic circuitry associated with the sensor for receiving the signal and providing a calibrated output based on the signal; (c) an electrical circuit in which the sensor acts as an electrode, the electrical circuit comprising means for energising the electrode to a predetermined potential and for measuring and recording the resultant current through the electrode;
(d) means for varying the electrode potential so as to cause the current to undergo at least part of a hysteresis cycle;
(e) means for calculating a characteristic point on the hysteresis curve from the recorded current measurements; and
(f) means for comparing the characteristic point with a stored value and for determining from this comparison whether the sensor meets a predetermined condition.
33. A device according to Claim 32, wherein the characteristic point is a nodal point on the hysteresis curve.
34. A device according to Claim 32 or 33. wherein the nodal point is defined as a voltage for which the current value on the hysteresis curve is independent of the analyte concentration in the vicinity of the sensor when the sensor is functioning correctly.
35. A device according to any one of Claims 32-34, further comprising a memory for storing the value of a characteristic point determined on an initial iteration of measurements of current values.
36. A device according to any one of Claims 32-35, further comprising means for providing an alarm if it is determined that the sensor does not meet the predetermined condition.
37. A method for the in vivo measurement of an analyte, comprising:
(a) providing an in vivo sensor, which acts as an electrode of an electrical circuit, to a subject for measuring the analyte, wherein the operation of the sensor is dependent on a reaction in which oxygen is required; (b) passing a voltage through the electrode, the voltage being of a magnitude and duration sufficient to cause the electrolysis of a chemical species present in the vicinity of the sensor so as to generate oxygen;
(c) measuring the signal produced by the sensor in response to the oxygen-dependent reaction; and
(d) repeating steps (b) and (c) periodically.
38. A method according to Claim 37, wherein water is the chemical species present in the vicinity of the sensor which is electrolysed to provide oxygen.
39. A method according to Claim 37 or 38, wherein step (b) continues for a duration sufficient to generate oxygen in an excess stoichiometric ratio relative to the analyte being measured at the sensor.
40. A device for the in vivo measurement of an analyte, comprising:
(a) an in vivo sensor for measuring the analyte and providing a signal in response to the measurement of the analyte, wherein the operation of the sensor is dependent on a reaction in which oxygen is required;
(b) electronic circuitry associated with the sensor for receiving the signal and providing a calibrated output based on the signal;
(c) an electrical circuit in which the sensor acts as an electrode, the electrical circuit comprising means for energising the electrode to a voltage which is of a magnitude and duration sufficient to cause the electrolysis of a chemical species present in the vicinity of the sensor to provide oxygen; and
(d) means for alternately generating oxygen by electrolysis and measuring the analyte by allowing the generated oxygen to take part in the reaction.
41. A device according to any one of Claims 14-22, 32-36 or 40, further comprising means for delivering a substance to the subject in response to the measured analyte values.
42. A device according to Claim 41 , wherein the substance is a medicament suitable to correct a condition in the patient for which the analyte is an indicating agent.
43. A device for calibrating an analyte sensor in vivo, comprising: (a) a sensor for application to a subject;
(b) means for providing a first predetermined stimulus to the sensor to produce a first sensor signal;
(c) means for measuring the first sensor signal; and (d) means for determining a calibration function based on the first measured sensor signal resulting from the predetermined stimulus, whereby the calibration function when applied to further signals received from the sensor can be used to provide a calibrated output.
44. A device according to Claim 43, wherein the means for providing the first predetermined stimulus comprises a supply of material to which the sensor is sensitive, such that the material stimulates the sensor when the sensor is applied to a subject.
45. A device according to Claim 44. wherein the material is soluble in biological fluids present in the area of the subject to which the sensor is applied.
46. A device according to Claim 43. wherein the material comprises an analyte or a precursor or derivative thereof.
47. A device according to Claim 43. wherein the predetermined stimulus is adapted to saturate the sensor such that the first signal is a maximum signal.
48. A device according to Claim 43, further comprising means for providing a second predetermined stimulus to the sensor so as to produce a second sensor signal and means for measuring the second sensor signal, such that the means for determination of the calibration function determines a calibration function based on the first and second measured sensor signals.
49. A device according to Claim 48, wherein the second sensor signal is a base line signal measured when substantially no analyte is in the vicinity of the sensor.
50. A device according to Claim 48, wherein the second predetermined stimulus is provided by consuming substantially all of the analyte in the vicinity of the sensor.
51. A device according to Claim 43, wherein the first and second signals constitute known points on a measured performance curve describing the measured performance of the sensor, and wherein the calibration function correlates the measured performance curve with a theoretical sensor performance curve for which there is stored a calibrated output, such that any further sensor signal measurement from the sensor can be calibrated by correlating the point on the measured performance curve to which the measurement relates with a corresponding point on the theoretical sensor performance curve, and hence with the corresponding calibrated output.
52. A device according to Claim 51 , wherein the known points on a curve describing the measured performance of the sensor are endpoints of the curve.
53. A device according to Claim 43, wherein the analyte is glucose.
54. A device for measuring an analyte in vivo comprising means for applying a sensor to a subject, means for calibrating the sensor according to the method of any one of Claims 1-12, and means for providing a calibrated output of any further measurements made by the sensor based on the calibration function.
55. A sensor for use in a device according to any one of Claims 43-54.
PCT/IE1998/000045 1997-06-16 1998-06-11 Methods of calibrating and testing a sensor for in vivo measurement of an analyte and devices for use in such methods WO1998058250A2 (en)

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Cited By (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001013102A1 (en) * 1999-08-11 2001-02-22 Iit Limited Sensor devices and analytical methods for their use
WO2001021827A1 (en) * 1999-09-20 2001-03-29 Roche Diagnostics Corporation Small volume biosensor for continuous analyte monitoring
WO2001022874A1 (en) * 1999-09-29 2001-04-05 Sicel Technologies, Inc. Methods of calibrating in vivo sensor systems using in vivo generating electrodes and related devices
WO2001033216A1 (en) * 1999-11-04 2001-05-10 Therasense, Inc. Small volume in vitro analyte sensor and related methods
US6717154B2 (en) 2000-08-02 2004-04-06 Sicel Technologies, Inc. Evaluation of irradiated foods and other items with telemetric dosimeters and associated methods
WO2005065535A1 (en) * 2003-12-30 2005-07-21 Medtronic Minimed, Inc. System and method for sensor recalibration
US7045054B1 (en) 1999-09-20 2006-05-16 Roche Diagnostics Corporation Small volume biosensor for continuous analyte monitoring
WO2007013915A1 (en) * 2005-07-20 2007-02-01 Bayer Healthcare Llc Gated amperometry
EP1860432A1 (en) * 2006-05-24 2007-11-28 Bionime GmbH A method for operating a measuring meter and a measuring meter
US7563350B2 (en) * 1998-10-08 2009-07-21 Abbott Diabetes Care Inc. Small volume in vitro analyte sensor
EP2142096A1 (en) * 2007-04-04 2010-01-13 Isense Corporation Analyte sensing device having one or more sensing electrodes
WO2010106781A1 (en) 2009-03-16 2010-09-23 Arkray, Inc. Method of continuously measuring substrate concentration
US20100327886A1 (en) * 2008-03-27 2010-12-30 Toshifumi Nakamura Measurement device, measurement system, and concentration measurement method
US8097147B2 (en) 2000-11-30 2012-01-17 Panasonic Corporation Method of measuring quantity of substrate
US8721544B2 (en) 2007-03-20 2014-05-13 Roche Diagnostics Operations, Inc. System for in-vivo measurement of an analyte concentration
US8744776B2 (en) 2008-12-08 2014-06-03 Bayer Healthcare Llc Method for determining analyte concentration based on complex index functions
AU2013200069B2 (en) * 2005-07-20 2014-06-05 Ascensia Diabetes Care Holdings Ag Gated amperometry
US9164076B2 (en) 2010-06-07 2015-10-20 Bayer Healthcare Llc Slope-based compensation including secondary output signals
AU2014218413B2 (en) * 2005-07-20 2016-09-15 Ascensia Diabetes Care Holdings Ag Gated amperometry
US9603557B2 (en) 2004-07-13 2017-03-28 Dexcom, Inc. Transcutaneous analyte sensor
US9662057B2 (en) 2000-06-27 2017-05-30 Abbott Diabetes Care Inc. Integrated sample acquisition and analyte measurement method
CN106970135A (en) * 2005-07-20 2017-07-21 安晟信医疗科技控股公司 Gated amperometry
CN107091870A (en) * 2007-12-10 2017-08-25 安晟信医疗科技控股公司 Determine measurement apparatus, bio-sensor system and the method for analyte concentration
US9775806B2 (en) 2011-09-21 2017-10-03 Ascensia Diabetes Care Holdings Ag Analysis compensation including segmented signals
US9775543B2 (en) 2004-07-13 2017-10-03 Dexcom, Inc. Transcutaneous analyte sensor
AU2016213744B2 (en) * 2005-07-20 2017-11-23 Ascensia Diabetes Care Holdings Ag Gated amperometry
US9833143B2 (en) 2004-05-03 2017-12-05 Dexcom, Inc. Transcutaneous analyte sensor
US9835582B2 (en) 2005-09-30 2017-12-05 Ascensia Diabetes Care Holdings Ag Devices using gated voltammetry methods
US9933385B2 (en) 2007-12-10 2018-04-03 Ascensia Diabetes Care Holdings Ag Method of using an electrochemical test sensor
US9986942B2 (en) 2004-07-13 2018-06-05 Dexcom, Inc. Analyte sensor
US10067082B2 (en) 2004-02-06 2018-09-04 Ascensia Diabetes Care Holdings Ag Biosensor for determining an analyte concentration
US10190150B2 (en) 2006-10-24 2019-01-29 Ascensia Diabetes Care Holdings Ag Determining analyte concentration from variant concentration distribution in measurable species
US10314525B2 (en) 2004-07-13 2019-06-11 Dexcom, Inc. Analyte sensor
US10591436B2 (en) 2010-03-22 2020-03-17 Ascensia Diabetes Care Holdings Ag Residual compensation including underfill error
US10610137B2 (en) 2005-03-10 2020-04-07 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10739350B2 (en) 2007-12-10 2020-08-11 Ascensia Diabetes Care Holdings Ag Method for determining analyte concentration based on slope-based compensation

Families Citing this family (390)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5593852A (en) 1993-12-02 1997-01-14 Heller; Adam Subcutaneous glucose electrode
SE9700384D0 (en) * 1997-02-04 1997-02-04 Biacore Ab Analytical method and apparatus
WO1998035225A1 (en) 1997-02-06 1998-08-13 E. Heller & Company Small volume in vitro analyte sensor
US7192450B2 (en) 2003-05-21 2007-03-20 Dexcom, Inc. Porous membranes for use with implantable devices
US9155496B2 (en) 1997-03-04 2015-10-13 Dexcom, Inc. Low oxygen in vivo analyte sensor
US20050033132A1 (en) 1997-03-04 2005-02-10 Shults Mark C. Analyte measuring device
US6862465B2 (en) 1997-03-04 2005-03-01 Dexcom, Inc. Device and method for determining analyte levels
US7657297B2 (en) * 2004-05-03 2010-02-02 Dexcom, Inc. Implantable analyte sensor
US8527026B2 (en) 1997-03-04 2013-09-03 Dexcom, Inc. Device and method for determining analyte levels
US7899511B2 (en) 2004-07-13 2011-03-01 Dexcom, Inc. Low oxygen in vivo analyte sensor
US6001067A (en) 1997-03-04 1999-12-14 Shults; Mark C. Device and method for determining analyte levels
US6134461A (en) 1998-03-04 2000-10-17 E. Heller & Company Electrochemical analyte
US6103033A (en) * 1998-03-04 2000-08-15 Therasense, Inc. Process for producing an electrochemical biosensor
US6391005B1 (en) 1998-03-30 2002-05-21 Agilent Technologies, Inc. Apparatus and method for penetration with shaft having a sensor for sensing penetration depth
US8974386B2 (en) 1998-04-30 2015-03-10 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US6175752B1 (en) 1998-04-30 2001-01-16 Therasense, Inc. Analyte monitoring device and methods of use
US8465425B2 (en) 1998-04-30 2013-06-18 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9066695B2 (en) 1998-04-30 2015-06-30 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US6949816B2 (en) * 2003-04-21 2005-09-27 Motorola, Inc. Semiconductor component having first surface area for electrically coupling to a semiconductor chip and second surface area for electrically coupling to a substrate, and method of manufacturing same
US8480580B2 (en) 1998-04-30 2013-07-09 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8346337B2 (en) 1998-04-30 2013-01-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8688188B2 (en) 1998-04-30 2014-04-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
PT1077636E (en) * 1998-05-13 2004-06-30 Cygnus Therapeutic Systems SIGNAL PROCESSING FOR PHYSIOLOGICAL ANALYZES MEDICATION
PT1117328E (en) * 1998-09-30 2008-12-02 Univ North Carolina State Methods, systems, and associated implantable devices for dynamic monitoring of tumors
JP3985022B2 (en) * 1999-11-08 2007-10-03 アークレイ株式会社 Body fluid measuring device and insertion body used by being inserted into the body fluid measuring device
US8641644B2 (en) 2000-11-21 2014-02-04 Sanofi-Aventis Deutschland Gmbh Blood testing apparatus having a rotatable cartridge with multiple lancing elements and testing means
US6560471B1 (en) 2001-01-02 2003-05-06 Therasense, Inc. Analyte monitoring device and methods of use
US7041468B2 (en) 2001-04-02 2006-05-09 Therasense, Inc. Blood glucose tracking apparatus and methods
US6872297B2 (en) * 2001-05-31 2005-03-29 Instrumentation Laboratory Company Analytical instruments, biosensors and methods thereof
EP1404233B1 (en) 2001-06-12 2009-12-02 Pelikan Technologies Inc. Self optimizing lancing device with adaptation means to temporal variations in cutaneous properties
US7981056B2 (en) 2002-04-19 2011-07-19 Pelikan Technologies, Inc. Methods and apparatus for lancet actuation
US9226699B2 (en) 2002-04-19 2016-01-05 Sanofi-Aventis Deutschland Gmbh Body fluid sampling module with a continuous compression tissue interface surface
US9427532B2 (en) 2001-06-12 2016-08-30 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
JP4149911B2 (en) 2001-06-12 2008-09-17 ペリカン テクノロジーズ インコーポレイテッド Electric lancet actuator
US8337419B2 (en) 2002-04-19 2012-12-25 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
EP1404235A4 (en) 2001-06-12 2008-08-20 Pelikan Technologies Inc Method and apparatus for lancet launching device integrated onto a blood-sampling cartridge
US7025774B2 (en) 2001-06-12 2006-04-11 Pelikan Technologies, Inc. Tissue penetration device
US9795747B2 (en) 2010-06-02 2017-10-24 Sanofi-Aventis Deutschland Gmbh Methods and apparatus for lancet actuation
US6702857B2 (en) 2001-07-27 2004-03-09 Dexcom, Inc. Membrane for use with implantable devices
US20030032874A1 (en) 2001-07-27 2003-02-13 Dexcom, Inc. Sensor head for use with implantable devices
US6952604B2 (en) * 2001-12-21 2005-10-04 Becton, Dickinson And Company Minimally-invasive system and method for monitoring analyte levels
US7601249B2 (en) * 2002-02-10 2009-10-13 Agamatrix, Inc. Method and apparatus for assay of electrochemical properties
US8260393B2 (en) 2003-07-25 2012-09-04 Dexcom, Inc. Systems and methods for replacing signal data artifacts in a glucose sensor data stream
US7613491B2 (en) 2002-05-22 2009-11-03 Dexcom, Inc. Silicone based membranes for use in implantable glucose sensors
US8010174B2 (en) 2003-08-22 2011-08-30 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US9247901B2 (en) 2003-08-22 2016-02-02 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US9282925B2 (en) 2002-02-12 2016-03-15 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US7331931B2 (en) 2002-04-19 2008-02-19 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7175642B2 (en) 2002-04-19 2007-02-13 Pelikan Technologies, Inc. Methods and apparatus for lancet actuation
US8784335B2 (en) 2002-04-19 2014-07-22 Sanofi-Aventis Deutschland Gmbh Body fluid sampling device with a capacitive sensor
US7491178B2 (en) 2002-04-19 2009-02-17 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US9248267B2 (en) 2002-04-19 2016-02-02 Sanofi-Aventis Deustchland Gmbh Tissue penetration device
US9314194B2 (en) 2002-04-19 2016-04-19 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
US7901362B2 (en) 2002-04-19 2011-03-08 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7892183B2 (en) 2002-04-19 2011-02-22 Pelikan Technologies, Inc. Method and apparatus for body fluid sampling and analyte sensing
US8372016B2 (en) 2002-04-19 2013-02-12 Sanofi-Aventis Deutschland Gmbh Method and apparatus for body fluid sampling and analyte sensing
US7976476B2 (en) 2002-04-19 2011-07-12 Pelikan Technologies, Inc. Device and method for variable speed lancet
US7674232B2 (en) 2002-04-19 2010-03-09 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7232451B2 (en) 2002-04-19 2007-06-19 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US8579831B2 (en) 2002-04-19 2013-11-12 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US7297122B2 (en) 2002-04-19 2007-11-20 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US8360992B2 (en) 2002-04-19 2013-01-29 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US7909778B2 (en) 2002-04-19 2011-03-22 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7229458B2 (en) 2002-04-19 2007-06-12 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US9795334B2 (en) 2002-04-19 2017-10-24 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US8702624B2 (en) 2006-09-29 2014-04-22 Sanofi-Aventis Deutschland Gmbh Analyte measurement device with a single shot actuator
US8267870B2 (en) 2002-04-19 2012-09-18 Sanofi-Aventis Deutschland Gmbh Method and apparatus for body fluid sampling with hybrid actuation
US7226461B2 (en) 2002-04-19 2007-06-05 Pelikan Technologies, Inc. Method and apparatus for a multi-use body fluid sampling device with sterility barrier release
US8221334B2 (en) 2002-04-19 2012-07-17 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US7547287B2 (en) 2002-04-19 2009-06-16 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7226978B2 (en) * 2002-05-22 2007-06-05 Dexcom, Inc. Techniques to improve polyurethane membranes for implantable glucose sensors
USRE49221E1 (en) 2002-06-14 2022-09-27 Parker Intangibles, Llc Single-use manifolds for automated, aseptic handling of solutions in bioprocessing applications
US20040010207A1 (en) * 2002-07-15 2004-01-15 Flaherty J. Christopher Self-contained, automatic transcutaneous physiologic sensing system
US7381184B2 (en) 2002-11-05 2008-06-03 Abbott Diabetes Care Inc. Sensor inserter assembly
US20040120848A1 (en) * 2002-12-20 2004-06-24 Maria Teodorczyk Method for manufacturing a sterilized and calibrated biosensor-based medical device
US8574895B2 (en) 2002-12-30 2013-11-05 Sanofi-Aventis Deutschland Gmbh Method and apparatus using optical techniques to measure analyte levels
EP1578262A4 (en) 2002-12-31 2007-12-05 Therasense Inc Continuous glucose monitoring system and methods of use
US7134999B2 (en) 2003-04-04 2006-11-14 Dexcom, Inc. Optimized sensor geometry for an implantable glucose sensor
US7415299B2 (en) * 2003-04-18 2008-08-19 The Regents Of The University Of California Monitoring method and/or apparatus
US7875293B2 (en) 2003-05-21 2011-01-25 Dexcom, Inc. Biointerface membranes incorporating bioactive agents
ES2347248T3 (en) 2003-05-30 2010-10-27 Pelikan Technologies Inc. PROCEDURE AND APPLIANCE FOR FLUID INJECTION.
US7850621B2 (en) 2003-06-06 2010-12-14 Pelikan Technologies, Inc. Method and apparatus for body fluid sampling and analyte sensing
US7258673B2 (en) * 2003-06-06 2007-08-21 Lifescan, Inc Devices, systems and methods for extracting bodily fluid and monitoring an analyte therein
US20040253736A1 (en) * 2003-06-06 2004-12-16 Phil Stout Analytical device with prediction module and related methods
US8066639B2 (en) 2003-06-10 2011-11-29 Abbott Diabetes Care Inc. Glucose measuring device for use in personal area network
WO2006001797A1 (en) 2004-06-14 2006-01-05 Pelikan Technologies, Inc. Low pain penetrating
EP1649260A4 (en) 2003-07-25 2010-07-07 Dexcom Inc Electrode systems for electrochemical sensors
US20050056552A1 (en) * 2003-07-25 2005-03-17 Simpson Peter C. Increasing bias for oxygen production in an electrode system
US7761130B2 (en) 2003-07-25 2010-07-20 Dexcom, Inc. Dual electrode system for a continuous analyte sensor
US8423113B2 (en) 2003-07-25 2013-04-16 Dexcom, Inc. Systems and methods for processing sensor data
JP4708342B2 (en) 2003-07-25 2011-06-22 デックスコム・インコーポレーテッド Oxygen augmentation membrane system for use in implantable devices
US8626257B2 (en) 2003-08-01 2014-01-07 Dexcom, Inc. Analyte sensor
US8845536B2 (en) 2003-08-01 2014-09-30 Dexcom, Inc. Transcutaneous analyte sensor
US7925321B2 (en) 2003-08-01 2011-04-12 Dexcom, Inc. System and methods for processing analyte sensor data
US7774145B2 (en) 2003-08-01 2010-08-10 Dexcom, Inc. Transcutaneous analyte sensor
US8369919B2 (en) 2003-08-01 2013-02-05 Dexcom, Inc. Systems and methods for processing sensor data
US8160669B2 (en) 2003-08-01 2012-04-17 Dexcom, Inc. Transcutaneous analyte sensor
US6931327B2 (en) 2003-08-01 2005-08-16 Dexcom, Inc. System and methods for processing analyte sensor data
US20100168657A1 (en) 2003-08-01 2010-07-01 Dexcom, Inc. System and methods for processing analyte sensor data
US7591801B2 (en) 2004-02-26 2009-09-22 Dexcom, Inc. Integrated delivery device for continuous glucose sensor
US20190357827A1 (en) 2003-08-01 2019-11-28 Dexcom, Inc. Analyte sensor
US8886273B2 (en) 2003-08-01 2014-11-11 Dexcom, Inc. Analyte sensor
US8761856B2 (en) 2003-08-01 2014-06-24 Dexcom, Inc. System and methods for processing analyte sensor data
US8275437B2 (en) 2003-08-01 2012-09-25 Dexcom, Inc. Transcutaneous analyte sensor
US9135402B2 (en) 2007-12-17 2015-09-15 Dexcom, Inc. Systems and methods for processing sensor data
US20140121989A1 (en) 2003-08-22 2014-05-01 Dexcom, Inc. Systems and methods for processing analyte sensor data
EP1671096A4 (en) 2003-09-29 2009-09-16 Pelikan Technologies Inc Method and apparatus for an improved sample capture device
WO2005037095A1 (en) 2003-10-14 2005-04-28 Pelikan Technologies, Inc. Method and apparatus for a variable user interface
US7299082B2 (en) * 2003-10-31 2007-11-20 Abbott Diabetes Care, Inc. Method of calibrating an analyte-measurement device, and associated methods, devices and systems
USD902408S1 (en) 2003-11-05 2020-11-17 Abbott Diabetes Care Inc. Analyte sensor control unit
WO2005051170A2 (en) 2003-11-19 2005-06-09 Dexcom, Inc. Integrated receiver for continuous analyte sensor
US8425417B2 (en) 2003-12-05 2013-04-23 Dexcom, Inc. Integrated device for continuous in vivo analyte detection and simultaneous control of an infusion device
US8425416B2 (en) 2006-10-04 2013-04-23 Dexcom, Inc. Analyte sensor
US8423114B2 (en) 2006-10-04 2013-04-16 Dexcom, Inc. Dual electrode system for a continuous analyte sensor
US8774886B2 (en) 2006-10-04 2014-07-08 Dexcom, Inc. Analyte sensor
EP2239566B1 (en) 2003-12-05 2014-04-23 DexCom, Inc. Calibration techniques for a continuous analyte sensor
US8364230B2 (en) 2006-10-04 2013-01-29 Dexcom, Inc. Analyte sensor
US11633133B2 (en) 2003-12-05 2023-04-25 Dexcom, Inc. Dual electrode system for a continuous analyte sensor
US8287453B2 (en) 2003-12-05 2012-10-16 Dexcom, Inc. Analyte sensor
US8364231B2 (en) 2006-10-04 2013-01-29 Dexcom, Inc. Analyte sensor
ES2646312T3 (en) * 2003-12-08 2017-12-13 Dexcom, Inc. Systems and methods to improve electromechanical analyte sensors
WO2005057175A2 (en) 2003-12-09 2005-06-23 Dexcom, Inc. Signal processing for continuous analyte sensor
US8224410B2 (en) * 2003-12-22 2012-07-17 Hadvary Paul Dermally affixed sensor device
US8668656B2 (en) 2003-12-31 2014-03-11 Sanofi-Aventis Deutschland Gmbh Method and apparatus for improving fluidic flow and sample capture
US7822454B1 (en) 2005-01-03 2010-10-26 Pelikan Technologies, Inc. Fluid sampling device with improved analyte detecting member configuration
US7637868B2 (en) * 2004-01-12 2009-12-29 Dexcom, Inc. Composite material for implantable device
CA2556331A1 (en) 2004-02-17 2005-09-29 Therasense, Inc. Method and system for providing data communication in continuous glucose monitoring and management system
US8808228B2 (en) 2004-02-26 2014-08-19 Dexcom, Inc. Integrated medicament delivery device for use with continuous analyte sensor
US8277713B2 (en) 2004-05-03 2012-10-02 Dexcom, Inc. Implantable analyte sensor
EP1751546A2 (en) 2004-05-20 2007-02-14 Albatros Technologies GmbH & Co. KG Printable hydrogel for biosensors
WO2005120365A1 (en) 2004-06-03 2005-12-22 Pelikan Technologies, Inc. Method and apparatus for a fluid sampling device
US9775553B2 (en) 2004-06-03 2017-10-03 Sanofi-Aventis Deutschland Gmbh Method and apparatus for a fluid sampling device
EP1810185A4 (en) 2004-06-04 2010-01-06 Therasense Inc Diabetes care host-client architecture and data management system
US20060015020A1 (en) * 2004-07-06 2006-01-19 Dexcom, Inc. Systems and methods for manufacture of an analyte-measuring device including a membrane system
US8452368B2 (en) 2004-07-13 2013-05-28 Dexcom, Inc. Transcutaneous analyte sensor
EP3666187B1 (en) * 2004-07-13 2021-05-26 DexCom, Inc. Transcutaneous analyte sensor
US7857760B2 (en) 2004-07-13 2010-12-28 Dexcom, Inc. Analyte sensor
US20060016700A1 (en) * 2004-07-13 2006-01-26 Dexcom, Inc. Transcutaneous analyte sensor
US7783333B2 (en) 2004-07-13 2010-08-24 Dexcom, Inc. Transcutaneous medical device with variable stiffness
US9788771B2 (en) 2006-10-23 2017-10-17 Abbott Diabetes Care Inc. Variable speed sensor insertion devices and methods of use
US8571624B2 (en) 2004-12-29 2013-10-29 Abbott Diabetes Care Inc. Method and apparatus for mounting a data transmission device in a communication system
US8029441B2 (en) 2006-02-28 2011-10-04 Abbott Diabetes Care Inc. Analyte sensor transmitter unit configuration for a data monitoring and management system
US10226207B2 (en) 2004-12-29 2019-03-12 Abbott Diabetes Care Inc. Sensor inserter having introducer
US7883464B2 (en) 2005-09-30 2011-02-08 Abbott Diabetes Care Inc. Integrated transmitter unit and sensor introducer mechanism and methods of use
US8333714B2 (en) 2006-09-10 2012-12-18 Abbott Diabetes Care Inc. Method and system for providing an integrated analyte sensor insertion device and data processing unit
US9351669B2 (en) 2009-09-30 2016-05-31 Abbott Diabetes Care Inc. Interconnect for on-body analyte monitoring device
US7731657B2 (en) 2005-08-30 2010-06-08 Abbott Diabetes Care Inc. Analyte sensor introducer and methods of use
US7697967B2 (en) 2005-12-28 2010-04-13 Abbott Diabetes Care Inc. Method and apparatus for providing analyte sensor insertion
US9398882B2 (en) * 2005-09-30 2016-07-26 Abbott Diabetes Care Inc. Method and apparatus for providing analyte sensor and data processing device
US8613703B2 (en) 2007-05-31 2013-12-24 Abbott Diabetes Care Inc. Insertion devices and methods
US9259175B2 (en) 2006-10-23 2016-02-16 Abbott Diabetes Care, Inc. Flexible patch for fluid delivery and monitoring body analytes
US9743862B2 (en) 2011-03-31 2017-08-29 Abbott Diabetes Care Inc. Systems and methods for transcutaneously implanting medical devices
US9572534B2 (en) 2010-06-29 2017-02-21 Abbott Diabetes Care Inc. Devices, systems and methods for on-skin or on-body mounting of medical devices
US20090105569A1 (en) 2006-04-28 2009-04-23 Abbott Diabetes Care, Inc. Introducer Assembly and Methods of Use
US8512243B2 (en) 2005-09-30 2013-08-20 Abbott Diabetes Care Inc. Integrated introducer and transmitter assembly and methods of use
US9636450B2 (en) 2007-02-19 2017-05-02 Udo Hoss Pump system modular components for delivering medication and analyte sensing at seperate insertion sites
US8652831B2 (en) 2004-12-30 2014-02-18 Sanofi-Aventis Deutschland Gmbh Method and apparatus for analyte measurement test time
US8133178B2 (en) 2006-02-22 2012-03-13 Dexcom, Inc. Analyte sensor
US20090076360A1 (en) 2007-09-13 2009-03-19 Dexcom, Inc. Transcutaneous analyte sensor
WO2006105146A2 (en) * 2005-03-29 2006-10-05 Arkal Medical, Inc. Devices, systems, methods and tools for continuous glucose monitoring
DE502005002216D1 (en) * 2005-04-08 2008-01-24 Roche Diagnostics Gmbh Device for placing a probe in living tissue
US8744546B2 (en) 2005-05-05 2014-06-03 Dexcom, Inc. Cellulosic-based resistance domain for an analyte sensor
US8060174B2 (en) 2005-04-15 2011-11-15 Dexcom, Inc. Analyte sensing biointerface
EP1874179A2 (en) * 2005-04-25 2008-01-09 Infotonics Technology Center, Inc. Microneedle with glucose sensor and method thereof
US8112240B2 (en) 2005-04-29 2012-02-07 Abbott Diabetes Care Inc. Method and apparatus for providing leak detection in data monitoring and management systems
US8840586B2 (en) * 2006-08-23 2014-09-23 Medtronic Minimed, Inc. Systems and methods allowing for reservoir filling and infusion medium delivery
US7905868B2 (en) 2006-08-23 2011-03-15 Medtronic Minimed, Inc. Infusion medium delivery device and method with drive device for driving plunger in reservoir
US20080097291A1 (en) * 2006-08-23 2008-04-24 Hanson Ian B Infusion pumps and methods and delivery devices and methods with same
US8137314B2 (en) * 2006-08-23 2012-03-20 Medtronic Minimed, Inc. Infusion medium delivery device and method with compressible or curved reservoir or conduit
US7641649B2 (en) * 2005-05-06 2010-01-05 Medtronic Minimed, Inc. Reservoir support and method for infusion device
US8512288B2 (en) 2006-08-23 2013-08-20 Medtronic Minimed, Inc. Infusion medium delivery device and method with drive device for driving plunger in reservoir
US8277415B2 (en) 2006-08-23 2012-10-02 Medtronic Minimed, Inc. Infusion medium delivery device and method with drive device for driving plunger in reservoir
CN101365374B (en) 2005-08-31 2011-11-16 弗吉尼亚大学专利基金委员会 Improving accuracy of continuous glucose sensors
US8880138B2 (en) 2005-09-30 2014-11-04 Abbott Diabetes Care Inc. Device for channeling fluid and methods of use
US9521968B2 (en) 2005-09-30 2016-12-20 Abbott Diabetes Care Inc. Analyte sensor retention mechanism and methods of use
US7766829B2 (en) 2005-11-04 2010-08-03 Abbott Diabetes Care Inc. Method and system for providing basal profile modification in analyte monitoring and management systems
US9615851B2 (en) * 2005-11-11 2017-04-11 Waveform Technologies, Inc. Method and apparatus for insertion of a sensor
US7857506B2 (en) * 2005-12-05 2010-12-28 Sencal Llc Disposable, pre-calibrated, pre-validated sensors for use in bio-processing applications
DE102005062388A1 (en) * 2005-12-23 2007-06-28 Endress + Hauser Conducta Gesellschaft für Mess- und Regeltechnik mbH + Co. KG Measuring device e.g. turbidity measuring device, for laboratory reference process, involves updating instruction based on actual calibration and reference measuring values, where earlier values pair is considered for updating instructions
US8160670B2 (en) * 2005-12-28 2012-04-17 Abbott Diabetes Care Inc. Analyte monitoring: stabilizer for subcutaneous glucose sensor with incorporated antiglycolytic agent
US11298058B2 (en) 2005-12-28 2022-04-12 Abbott Diabetes Care Inc. Method and apparatus for providing analyte sensor insertion
CA2636034A1 (en) 2005-12-28 2007-10-25 Abbott Diabetes Care Inc. Medical device insertion
US8515518B2 (en) * 2005-12-28 2013-08-20 Abbott Diabetes Care Inc. Analyte monitoring
US7519409B2 (en) * 2005-12-29 2009-04-14 Medtronic, Inc. Implantable cell/tissue-based biosensing device
US7774038B2 (en) 2005-12-30 2010-08-10 Medtronic Minimed, Inc. Real-time self-calibrating sensor system and method
US9757061B2 (en) 2006-01-17 2017-09-12 Dexcom, Inc. Low oxygen in vivo analyte sensor
US7736310B2 (en) 2006-01-30 2010-06-15 Abbott Diabetes Care Inc. On-body medical device securement
WO2007092637A2 (en) 2006-02-09 2007-08-16 Deka Products Limited Partnership Patch-sized fluid delivery systems and methods
US7826879B2 (en) 2006-02-28 2010-11-02 Abbott Diabetes Care Inc. Analyte sensors and methods of use
US7885698B2 (en) 2006-02-28 2011-02-08 Abbott Diabetes Care Inc. Method and system for providing continuous calibration of implantable analyte sensors
EP1991110B1 (en) 2006-03-09 2018-11-07 DexCom, Inc. Systems and methods for processing analyte sensor data
US20080154107A1 (en) * 2006-12-20 2008-06-26 Jina Arvind N Device, systems, methods and tools for continuous glucose monitoring
US20100049021A1 (en) * 2006-03-28 2010-02-25 Jina Arvind N Devices, systems, methods and tools for continuous analyte monitoring
US8346335B2 (en) 2008-03-28 2013-01-01 Abbott Diabetes Care Inc. Analyte sensor calibration management
US7618369B2 (en) 2006-10-02 2009-11-17 Abbott Diabetes Care Inc. Method and system for dynamically updating calibration parameters for an analyte sensor
US7620438B2 (en) 2006-03-31 2009-11-17 Abbott Diabetes Care Inc. Method and system for powering an electronic device
US9392969B2 (en) 2008-08-31 2016-07-19 Abbott Diabetes Care Inc. Closed loop control and signal attenuation detection
US8374668B1 (en) 2007-10-23 2013-02-12 Abbott Diabetes Care Inc. Analyte sensor with lag compensation
US8140312B2 (en) 2007-05-14 2012-03-20 Abbott Diabetes Care Inc. Method and system for determining analyte levels
US8473022B2 (en) 2008-01-31 2013-06-25 Abbott Diabetes Care Inc. Analyte sensor with time lag compensation
US9675290B2 (en) 2012-10-30 2017-06-13 Abbott Diabetes Care Inc. Sensitivity calibration of in vivo sensors used to measure analyte concentration
US7801582B2 (en) 2006-03-31 2010-09-21 Abbott Diabetes Care Inc. Analyte monitoring and management system and methods therefor
US8224415B2 (en) 2009-01-29 2012-07-17 Abbott Diabetes Care Inc. Method and device for providing offset model based calibration for analyte sensor
US9326709B2 (en) 2010-03-10 2016-05-03 Abbott Diabetes Care Inc. Systems, devices and methods for managing glucose levels
US8226891B2 (en) 2006-03-31 2012-07-24 Abbott Diabetes Care Inc. Analyte monitoring devices and methods therefor
US8219173B2 (en) 2008-09-30 2012-07-10 Abbott Diabetes Care Inc. Optimizing analyte sensor calibration
US7630748B2 (en) 2006-10-25 2009-12-08 Abbott Diabetes Care Inc. Method and system for providing analyte monitoring
US7653425B2 (en) 2006-08-09 2010-01-26 Abbott Diabetes Care Inc. Method and system for providing calibration of an analyte sensor in an analyte monitoring system
WO2007120381A2 (en) 2006-04-14 2007-10-25 Dexcom, Inc. Analyte sensor
WO2007143225A2 (en) * 2006-06-07 2007-12-13 Abbott Diabetes Care, Inc. Analyte monitoring system and method
US7794434B2 (en) * 2006-08-23 2010-09-14 Medtronic Minimed, Inc. Systems and methods allowing for reservoir filling and infusion medium delivery
US7811262B2 (en) * 2006-08-23 2010-10-12 Medtronic Minimed, Inc. Systems and methods allowing for reservoir filling and infusion medium delivery
US20080051765A1 (en) * 2006-08-23 2008-02-28 Medtronic Minimed, Inc. Systems and methods allowing for reservoir filling and infusion medium delivery
US7828764B2 (en) * 2006-08-23 2010-11-09 Medtronic Minimed, Inc. Systems and methods allowing for reservoir filling and infusion medium delivery
US7789857B2 (en) * 2006-08-23 2010-09-07 Medtronic Minimed, Inc. Infusion medium delivery system, device and method with needle inserter and needle inserter device and method
US20080058726A1 (en) * 2006-08-30 2008-03-06 Arvind Jina Methods and Apparatus Incorporating a Surface Penetration Device
US8562528B2 (en) 2006-10-04 2013-10-22 Dexcom, Inc. Analyte sensor
US8478377B2 (en) 2006-10-04 2013-07-02 Dexcom, Inc. Analyte sensor
US8298142B2 (en) 2006-10-04 2012-10-30 Dexcom, Inc. Analyte sensor
US7831287B2 (en) 2006-10-04 2010-11-09 Dexcom, Inc. Dual electrode system for a continuous analyte sensor
US8447376B2 (en) 2006-10-04 2013-05-21 Dexcom, Inc. Analyte sensor
US8275438B2 (en) 2006-10-04 2012-09-25 Dexcom, Inc. Analyte sensor
US8449464B2 (en) 2006-10-04 2013-05-28 Dexcom, Inc. Analyte sensor
US7880626B2 (en) * 2006-10-12 2011-02-01 Masimo Corporation System and method for monitoring the life of a physiological sensor
JP2010508091A (en) 2006-10-26 2010-03-18 アボット ダイアベティス ケア インコーポレイテッド Method, system, and computer program product for detecting in real time a decrease in sensitivity of an analyte sensor
EP2124726A1 (en) * 2006-12-22 2009-12-02 Medingo Ltd. Fluid delivery with in vivo electrochemical analyte sensing
US8845530B2 (en) * 2007-01-02 2014-09-30 Isense Corporation Resposable biosensor assembly and method of sensing
US20080199894A1 (en) 2007-02-15 2008-08-21 Abbott Diabetes Care, Inc. Device and method for automatic data acquisition and/or detection
US8121857B2 (en) 2007-02-15 2012-02-21 Abbott Diabetes Care Inc. Device and method for automatic data acquisition and/or detection
US8732188B2 (en) 2007-02-18 2014-05-20 Abbott Diabetes Care Inc. Method and system for providing contextual based medication dosage determination
US8930203B2 (en) 2007-02-18 2015-01-06 Abbott Diabetes Care Inc. Multi-function analyte test device and methods therefor
US8123686B2 (en) 2007-03-01 2012-02-28 Abbott Diabetes Care Inc. Method and apparatus for providing rolling data in communication systems
WO2008130895A2 (en) 2007-04-14 2008-10-30 Abbott Diabetes Care, Inc. Method and apparatus for providing dynamic multi-stage signal amplification in a medical device
CA2683953C (en) 2007-04-14 2016-08-02 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in medical communication system
US9615780B2 (en) 2007-04-14 2017-04-11 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in medical communication system
ES2817503T3 (en) 2007-04-14 2021-04-07 Abbott Diabetes Care Inc Procedure and apparatus for providing data processing and control in a medical communication system
CA2683930A1 (en) 2007-04-14 2008-10-23 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in medical communication system
WO2008130898A1 (en) 2007-04-14 2008-10-30 Abbott Diabetes Care, Inc. Method and apparatus for providing data processing and control in medical communication system
US8597243B2 (en) 2007-04-30 2013-12-03 Medtronic Minimed, Inc. Systems and methods allowing for reservoir air bubble management
US8434528B2 (en) 2007-04-30 2013-05-07 Medtronic Minimed, Inc. Systems and methods for reservoir filling
US7963954B2 (en) 2007-04-30 2011-06-21 Medtronic Minimed, Inc. Automated filling systems and methods
US7959715B2 (en) 2007-04-30 2011-06-14 Medtronic Minimed, Inc. Systems and methods allowing for reservoir air bubble management
US8323250B2 (en) 2007-04-30 2012-12-04 Medtronic Minimed, Inc. Adhesive patch systems and methods
US8613725B2 (en) 2007-04-30 2013-12-24 Medtronic Minimed, Inc. Reservoir systems and methods
WO2008136845A2 (en) 2007-04-30 2008-11-13 Medtronic Minimed, Inc. Reservoir filling, bubble management, and infusion medium delivery systems and methods with same
US7928850B2 (en) 2007-05-08 2011-04-19 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8456301B2 (en) 2007-05-08 2013-06-04 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8665091B2 (en) 2007-05-08 2014-03-04 Abbott Diabetes Care Inc. Method and device for determining elapsed sensor life
US8461985B2 (en) 2007-05-08 2013-06-11 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8260558B2 (en) 2007-05-14 2012-09-04 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US9125548B2 (en) 2007-05-14 2015-09-08 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8600681B2 (en) 2007-05-14 2013-12-03 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8444560B2 (en) 2007-05-14 2013-05-21 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US10002233B2 (en) 2007-05-14 2018-06-19 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US7996158B2 (en) 2007-05-14 2011-08-09 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8239166B2 (en) 2007-05-14 2012-08-07 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8103471B2 (en) 2007-05-14 2012-01-24 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8560038B2 (en) 2007-05-14 2013-10-15 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
CA2688184A1 (en) 2007-06-08 2008-12-18 Dexcom, Inc. Integrated medicament delivery device for use with continuous analyte sensor
US20080312518A1 (en) * 2007-06-14 2008-12-18 Arkal Medical, Inc On-demand analyte monitor and method of use
JP2010531169A (en) 2007-06-21 2010-09-24 アボット ダイアベティス ケア インコーポレイテッド Health monitoring device
AU2008265541B2 (en) 2007-06-21 2014-07-17 Abbott Diabetes Care, Inc. Health management devices and methods
US8160900B2 (en) 2007-06-29 2012-04-17 Abbott Diabetes Care Inc. Analyte monitoring and management device and method to analyze the frequency of user interaction with the device
US7768386B2 (en) 2007-07-31 2010-08-03 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8834366B2 (en) 2007-07-31 2014-09-16 Abbott Diabetes Care Inc. Method and apparatus for providing analyte sensor calibration
PL2535706T3 (en) 2007-09-24 2015-11-30 Bayer Healthcare Llc Multi-electrode test sensor
US9452258B2 (en) 2007-10-09 2016-09-27 Dexcom, Inc. Integrated insulin delivery system with continuous glucose sensor
US8216138B1 (en) 2007-10-23 2012-07-10 Abbott Diabetes Care Inc. Correlation of alternative site blood and interstitial fluid glucose concentrations to venous glucose concentration
US8409093B2 (en) 2007-10-23 2013-04-02 Abbott Diabetes Care Inc. Assessing measures of glycemic variability
US8377031B2 (en) 2007-10-23 2013-02-19 Abbott Diabetes Care Inc. Closed loop control system with safety parameters and methods
US8417312B2 (en) 2007-10-25 2013-04-09 Dexcom, Inc. Systems and methods for processing sensor data
US9839395B2 (en) 2007-12-17 2017-12-12 Dexcom, Inc. Systems and methods for processing sensor data
US20090164239A1 (en) 2007-12-19 2009-06-25 Abbott Diabetes Care, Inc. Dynamic Display Of Glucose Information
US8986253B2 (en) 2008-01-25 2015-03-24 Tandem Diabetes Care, Inc. Two chamber pumps and related methods
CA2715628A1 (en) 2008-02-21 2009-08-27 Dexcom, Inc. Systems and methods for processing, transmitting and displaying sensor data
US8968345B2 (en) * 2008-03-24 2015-03-03 Covidien Lp Surgical introducer with indicators
US8396528B2 (en) 2008-03-25 2013-03-12 Dexcom, Inc. Analyte sensor
US8682408B2 (en) 2008-03-28 2014-03-25 Dexcom, Inc. Polymer membranes for continuous analyte sensors
US11730407B2 (en) 2008-03-28 2023-08-22 Dexcom, Inc. Polymer membranes for continuous analyte sensors
US8583204B2 (en) 2008-03-28 2013-11-12 Dexcom, Inc. Polymer membranes for continuous analyte sensors
US8252229B2 (en) 2008-04-10 2012-08-28 Abbott Diabetes Care Inc. Method and system for sterilizing an analyte sensor
WO2009126900A1 (en) 2008-04-11 2009-10-15 Pelikan Technologies, Inc. Method and apparatus for analyte detecting device
US9295786B2 (en) 2008-05-28 2016-03-29 Medtronic Minimed, Inc. Needle protective device for subcutaneous sensors
US8591410B2 (en) 2008-05-30 2013-11-26 Abbott Diabetes Care Inc. Method and apparatus for providing glycemic control
US7826382B2 (en) 2008-05-30 2010-11-02 Abbott Diabetes Care Inc. Close proximity communication device and methods
US8924159B2 (en) 2008-05-30 2014-12-30 Abbott Diabetes Care Inc. Method and apparatus for providing glycemic control
CN102089650B (en) 2008-07-10 2014-01-29 拜尔健康护理有限责任公司 Systems and methods including amperometric and voltammetric duty cycles
US8876755B2 (en) 2008-07-14 2014-11-04 Abbott Diabetes Care Inc. Closed loop control system interface and methods
US8622988B2 (en) 2008-08-31 2014-01-07 Abbott Diabetes Care Inc. Variable rate closed loop control and methods
US9943644B2 (en) 2008-08-31 2018-04-17 Abbott Diabetes Care Inc. Closed loop control with reference measurement and methods thereof
US8734422B2 (en) 2008-08-31 2014-05-27 Abbott Diabetes Care Inc. Closed loop control with improved alarm functions
US20100057040A1 (en) 2008-08-31 2010-03-04 Abbott Diabetes Care, Inc. Robust Closed Loop Control And Methods
US8408421B2 (en) 2008-09-16 2013-04-02 Tandem Diabetes Care, Inc. Flow regulating stopcocks and related methods
US8560039B2 (en) 2008-09-19 2013-10-15 Dexcom, Inc. Particle-containing membrane and particulate electrode for analyte sensors
EP2334234A4 (en) 2008-09-19 2013-03-20 Tandem Diabetes Care Inc Solute concentration measurement device and related methods
US8986208B2 (en) 2008-09-30 2015-03-24 Abbott Diabetes Care Inc. Analyte sensor sensitivity attenuation mitigation
US9801575B2 (en) 2011-04-15 2017-10-31 Dexcom, Inc. Advanced analyte sensor calibration and error detection
US9326707B2 (en) 2008-11-10 2016-05-03 Abbott Diabetes Care Inc. Alarm characterization for analyte monitoring devices and systems
US20100169035A1 (en) * 2008-12-29 2010-07-01 Medtronic Minimed, Inc. Methods and systems for observing sensor parameters
WO2010080715A1 (en) 2009-01-12 2010-07-15 Becton, Dickinson And Company Infusion set and/or patch pump having at least one of an in-dwelling rigid catheter with flexible features and/or a flexible catheter attachment
US9375529B2 (en) 2009-09-02 2016-06-28 Becton, Dickinson And Company Extended use medical device
US8103456B2 (en) 2009-01-29 2012-01-24 Abbott Diabetes Care Inc. Method and device for early signal attenuation detection using blood glucose measurements
US9375169B2 (en) 2009-01-30 2016-06-28 Sanofi-Aventis Deutschland Gmbh Cam drive for managing disposable penetrating member actions with a single motor and motor and control system
US9402544B2 (en) 2009-02-03 2016-08-02 Abbott Diabetes Care Inc. Analyte sensor and apparatus for insertion of the sensor
US9446194B2 (en) 2009-03-27 2016-09-20 Dexcom, Inc. Methods and systems for promoting glucose management
US8497777B2 (en) 2009-04-15 2013-07-30 Abbott Diabetes Care Inc. Analyte monitoring system having an alert
EP2419015A4 (en) 2009-04-16 2014-08-20 Abbott Diabetes Care Inc Analyte sensor calibration management
US9226701B2 (en) 2009-04-28 2016-01-05 Abbott Diabetes Care Inc. Error detection in critical repeating data in a wireless sensor system
US8483967B2 (en) 2009-04-29 2013-07-09 Abbott Diabetes Care Inc. Method and system for providing real time analyte sensor calibration with retrospective backfill
US8368556B2 (en) 2009-04-29 2013-02-05 Abbott Diabetes Care Inc. Method and system for providing data communication in continuous glucose monitoring and management system
US8571619B2 (en) 2009-05-20 2013-10-29 Masimo Corporation Hemoglobin display and patient treatment
WO2010138856A1 (en) 2009-05-29 2010-12-02 Abbott Diabetes Care Inc. Medical device antenna systems having external antenna configurations
US8613892B2 (en) 2009-06-30 2013-12-24 Abbott Diabetes Care Inc. Analyte meter with a moveable head and methods of using the same
EP4289355A3 (en) 2009-07-23 2024-02-28 Abbott Diabetes Care Inc. Continuous analyte measurement system
US8939928B2 (en) 2009-07-23 2015-01-27 Becton, Dickinson And Company Medical device having capacitive coupling communication and energy harvesting
CA2921304C (en) 2009-07-30 2018-06-05 Tandem Diabetes Care, Inc. Infusion pump system with disposable cartridge having pressure venting and pressure feedback
WO2011014851A1 (en) 2009-07-31 2011-02-03 Abbott Diabetes Care Inc. Method and apparatus for providing analyte monitoring system calibration accuracy
EP4070728A1 (en) 2009-08-31 2022-10-12 Abbott Diabetes Care, Inc. Displays for a medical device
AU2010286917B2 (en) 2009-08-31 2016-03-10 Abbott Diabetes Care Inc. Medical devices and methods
US9314195B2 (en) 2009-08-31 2016-04-19 Abbott Diabetes Care Inc. Analyte signal processing device and methods
EP2473099A4 (en) 2009-08-31 2015-01-14 Abbott Diabetes Care Inc Analyte monitoring system and methods for managing power and noise
US10092691B2 (en) 2009-09-02 2018-10-09 Becton, Dickinson And Company Flexible and conformal patch pump
WO2011041469A1 (en) 2009-09-29 2011-04-07 Abbott Diabetes Care Inc. Method and apparatus for providing notification function in analyte monitoring systems
CN102724913A (en) * 2009-09-30 2012-10-10 德克斯康公司 Transcutaneous analyte sensor
US20110082356A1 (en) * 2009-10-01 2011-04-07 Medtronic Minimed, Inc. Analyte sensor apparatuses having interference rejection membranes and methods for making and using them
EP2494323A4 (en) 2009-10-30 2014-07-16 Abbott Diabetes Care Inc Method and apparatus for detecting false hypoglycemic conditions
US8264215B1 (en) * 2009-12-10 2012-09-11 The Boeing Company Onboard electrical current sensing system
USD924406S1 (en) 2010-02-01 2021-07-06 Abbott Diabetes Care Inc. Analyte sensor inserter
CA3096110C (en) 2010-03-24 2023-11-14 Abbott Diabetes Care Inc. Medical device inserters and processes of inserting and using medical devices
US8965476B2 (en) 2010-04-16 2015-02-24 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
AU2011239548A1 (en) 2010-04-16 2012-01-19 Abbott Diabetes Care Inc. Analyte monitoring device and methods
US8635046B2 (en) 2010-06-23 2014-01-21 Abbott Diabetes Care Inc. Method and system for evaluating analyte sensor response characteristics
US11064921B2 (en) 2010-06-29 2021-07-20 Abbott Diabetes Care Inc. Devices, systems and methods for on-skin or on-body mounting of medical devices
US10092229B2 (en) 2010-06-29 2018-10-09 Abbott Diabetes Care Inc. Calibration of analyte measurement system
US20130211219A1 (en) * 2010-08-24 2013-08-15 Micro CHIPS ,Inc. Implantable Biosensor Device and Methods of Use Thereof
EP2624745A4 (en) 2010-10-07 2018-05-23 Abbott Diabetes Care, Inc. Analyte monitoring devices and methods
US8795230B2 (en) 2010-11-30 2014-08-05 Becton, Dickinson And Company Adjustable height needle infusion device
US8814831B2 (en) 2010-11-30 2014-08-26 Becton, Dickinson And Company Ballistic microneedle infusion device
US9950109B2 (en) 2010-11-30 2018-04-24 Becton, Dickinson And Company Slide-activated angled inserter and cantilevered ballistic insertion for intradermal drug infusion
CA3177983A1 (en) 2011-02-28 2012-11-15 Abbott Diabetes Care Inc. Devices, systems, and methods associated with analyte monitoring devices and devices incorporating the same
US10136845B2 (en) 2011-02-28 2018-11-27 Abbott Diabetes Care Inc. Devices, systems, and methods associated with analyte monitoring devices and devices incorporating the same
EP2532305B1 (en) * 2011-06-09 2014-08-13 Dexcom, Inc. Transcutaneous analyte sensor
WO2013066873A1 (en) 2011-10-31 2013-05-10 Abbott Diabetes Care Inc. Electronic devices having integrated reset systems and methods thereof
US9622691B2 (en) 2011-10-31 2017-04-18 Abbott Diabetes Care Inc. Model based variable risk false glucose threshold alarm prevention mechanism
JP6443802B2 (en) 2011-11-07 2018-12-26 アボット ダイアベティス ケア インコーポレイテッドAbbott Diabetes Care Inc. Analyte monitoring apparatus and method
US8710993B2 (en) 2011-11-23 2014-04-29 Abbott Diabetes Care Inc. Mitigating single point failure of devices in an analyte monitoring system and methods thereof
US9317656B2 (en) 2011-11-23 2016-04-19 Abbott Diabetes Care Inc. Compatibility mechanisms for devices in a continuous analyte monitoring system and methods thereof
WO2013078426A2 (en) 2011-11-25 2013-05-30 Abbott Diabetes Care Inc. Analyte monitoring system and methods of use
FI3831283T3 (en) 2011-12-11 2023-06-01 Abbott Diabetes Care Inc Analyte sensor devices, connections, and methods
US9615779B2 (en) * 2012-04-04 2017-04-11 Dexcom, Inc. Transcutaneous analyte sensors, applicators therefor, and associated methods
US9180242B2 (en) 2012-05-17 2015-11-10 Tandem Diabetes Care, Inc. Methods and devices for multiple fluid transfer
US9201038B2 (en) * 2012-07-24 2015-12-01 Lifescan Scotland Limited System and methods to account for interferents in a glucose biosensor
EP3395252A1 (en) 2012-08-30 2018-10-31 Abbott Diabetes Care, Inc. Dropout detection in continuous analyte monitoring data during data excursions
US9968306B2 (en) 2012-09-17 2018-05-15 Abbott Diabetes Care Inc. Methods and apparatuses for providing adverse condition notification with enhanced wireless communication range in analyte monitoring systems
EP2901153A4 (en) 2012-09-26 2016-04-27 Abbott Diabetes Care Inc Method and apparatus for improving lag correction during in vivo measurement of analyte concentration with analyte concentration variability and range data
US20140213866A1 (en) 2012-10-12 2014-07-31 Dexcom, Inc. Sensors for continuous analyte monitoring, and related methods
US10466247B2 (en) 2012-11-20 2019-11-05 Becton, Dickinson And Company System and method for diagnosing sensor performance using analyte-independent ratiometric signals
US10327685B2 (en) 2012-12-20 2019-06-25 Becton, Dickinson And Company System and method for using multiple sensor calibration methods
US10820860B2 (en) * 2013-03-14 2020-11-03 One Drop Biosensor Technologies, Llc On-body microsensor for biomonitoring
US9182368B2 (en) * 2013-03-14 2015-11-10 Sano Intelligence, Inc. Method of manufacturing a sensor for sensing analytes
US9173998B2 (en) 2013-03-14 2015-11-03 Tandem Diabetes Care, Inc. System and method for detecting occlusions in an infusion pump
US10433773B1 (en) 2013-03-15 2019-10-08 Abbott Diabetes Care Inc. Noise rejection methods and apparatus for sparsely sampled analyte sensor data
US9474475B1 (en) 2013-03-15 2016-10-25 Abbott Diabetes Care Inc. Multi-rate analyte sensor data collection with sample rate configurable signal processing
US10076285B2 (en) 2013-03-15 2018-09-18 Abbott Diabetes Care Inc. Sensor fault detection using analyte sensor data pattern comparison
US10379125B2 (en) 2013-12-27 2019-08-13 Becton, Dickinson And Company System and method for dynamically calibrating and measuring analyte concentration in diabetes management monitors
WO2015102745A1 (en) 2013-12-31 2015-07-09 Abbott Diabetes Care Inc. Self-powered analyte sensor and devices using the same
US10595754B2 (en) 2014-03-13 2020-03-24 Sano Intelligence, Inc. System for monitoring body chemistry
CN106102578A (en) 2014-03-13 2016-11-09 萨诺智能公司 For monitoring the system of body chemistry
US20170185748A1 (en) 2014-03-30 2017-06-29 Abbott Diabetes Care Inc. Method and Apparatus for Determining Meal Start and Peak Events in Analyte Monitoring Systems
US20150289788A1 (en) 2014-04-10 2015-10-15 Dexcom, Inc. Sensors for continuous analyte monitoring, and related methods
US10004845B2 (en) 2014-04-18 2018-06-26 Becton, Dickinson And Company Split piston metering pump
US9416775B2 (en) 2014-07-02 2016-08-16 Becton, Dickinson And Company Internal cam metering pump
CN105873514B (en) * 2014-10-27 2018-10-26 深圳市光聚通讯技术开发有限公司 Dynamic glucose harvester and host
KR20160115650A (en) * 2015-03-25 2016-10-06 삼성전자주식회사 Wearable electronic device
WO2016153313A1 (en) * 2015-03-25 2016-09-29 Samsung Electronics Co., Ltd. Wearable electronic device
US10213139B2 (en) 2015-05-14 2019-02-26 Abbott Diabetes Care Inc. Systems, devices, and methods for assembling an applicator and sensor control device
AU2016260547B2 (en) 2015-05-14 2020-09-03 Abbott Diabetes Care Inc. Compact medical device inserters and related systems and methods
AU2016291569B2 (en) 2015-07-10 2021-07-08 Abbott Diabetes Care Inc. System, device and method of dynamic glucose profile response to physiological parameters
US10595900B2 (en) 2015-10-21 2020-03-24 Dexcom, Inc. Transcutaneous analyte sensors, applicators therefor, and associated methods
US20170188911A1 (en) 2015-12-30 2017-07-06 Dexcom, Inc. Transcutaneous analyte sensor systems and methods
US11071478B2 (en) 2017-01-23 2021-07-27 Abbott Diabetes Care Inc. Systems, devices and methods for analyte sensor insertion
WO2018175489A1 (en) 2017-03-21 2018-09-27 Abbott Diabetes Care Inc. Methods, devices and system for providing diabetic condition diagnosis and therapy
US20190120785A1 (en) 2017-10-24 2019-04-25 Dexcom, Inc. Pre-connected analyte sensors
US11331022B2 (en) 2017-10-24 2022-05-17 Dexcom, Inc. Pre-connected analyte sensors
US11464908B2 (en) 2019-02-18 2022-10-11 Tandem Diabetes Care, Inc. Methods and apparatus for monitoring infusion sites for ambulatory infusion pumps
CN110146553B (en) * 2019-06-05 2022-02-08 东莞市盛山电子科技有限公司 Electronic digital display chlorine tester test calibration method and tester thereof
USD1002852S1 (en) 2019-06-06 2023-10-24 Abbott Diabetes Care Inc. Analyte sensor device
US20210032671A1 (en) * 2019-08-02 2021-02-04 Bionime Corporation Method for Reducing Measurement Interference of Micro Biosensor
USD999913S1 (en) 2020-12-21 2023-09-26 Abbott Diabetes Care Inc Analyte sensor inserter
USD988882S1 (en) 2021-04-21 2023-06-13 Informed Data Systems Inc. Sensor assembly

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1996014026A1 (en) 1994-11-04 1996-05-17 Elan Medical Technologies Limited Analyte-controlled liquid delivery device and analyte monitor

Family Cites Families (53)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US2408323A (en) 1943-06-10 1946-09-24 Margaret L Lockhart Hypodermic syringe
US2576951A (en) 1950-09-29 1951-12-04 Compule Corp Hypodermic syringe assemblies, including plural-compartment admixing ampoules for segregated storage of ingredients of liquid mediginal solutions and parts thereof
US3964482A (en) 1971-05-17 1976-06-22 Alza Corporation Drug delivery device
US4340458A (en) 1980-06-02 1982-07-20 Joslin Diabetes Center, Inc. Glucose sensor
US4515584A (en) 1982-07-06 1985-05-07 Fujisawa Pharmaceutical Co., Ltd. Artificial pancreas
EP0098592A3 (en) 1982-07-06 1985-08-21 Fujisawa Pharmaceutical Co., Ltd. Portable artificial pancreas
US4697622A (en) 1984-06-01 1987-10-06 Parker Hannifin Corporation Passive filling device
US4684365A (en) 1985-01-24 1987-08-04 Eaton Corporation Disposable refill unit for implanted medication infusion device
US4627445A (en) 1985-04-08 1986-12-09 Garid, Inc. Glucose medical monitoring system
US4684367A (en) 1985-04-12 1987-08-04 Meditec Research Associates Ambulatory intravenous delivery system
US4687423A (en) 1985-06-07 1987-08-18 Ivac Corporation Electrochemically-driven pulsatile drug dispenser
US4805624A (en) * 1985-09-09 1989-02-21 The Montefiore Hospital Association Of Western Pa Low-potential electrochemical redox sensors
GB8612861D0 (en) 1986-05-27 1986-07-02 Cambridge Life Sciences Immobilised enzyme biosensors
CA1283827C (en) 1986-12-18 1991-05-07 Giorgio Cirelli Appliance for injection of liquid formulations
US4902278A (en) 1987-02-18 1990-02-20 Ivac Corporation Fluid delivery micropump
DE3806955A1 (en) 1987-03-03 1988-09-15 Res Ass Bio Tech Chem Glucose-sensitive FET sensor, and method for its fabrication
GB8710472D0 (en) 1987-05-01 1987-06-03 Cambridge Life Sciences Amperometric method
GB8724446D0 (en) 1987-10-19 1987-11-25 Cambridge Life Sciences Immobilised enzyme electrodes
US5547467A (en) 1988-01-21 1996-08-20 Massachusettes Institute Of Technology Method for rapid temporal control of molecular transport across tissue
US5070886A (en) 1988-01-22 1991-12-10 Safety Diagnostice, Inc. Blood collection and testing means
GB8817997D0 (en) 1988-07-28 1988-09-01 Cambridge Life Sciences Enzyme electrodes & improvements in manufacture thereof
AT393213B (en) 1989-02-08 1991-09-10 Avl Verbrennungskraft Messtech DEVICE FOR DETERMINING AT LEAST ONE MEDICAL MEASURING SIZE
US4953552A (en) 1989-04-21 1990-09-04 Demarzo Arthur P Blood glucose monitoring system
EP0396788A1 (en) * 1989-05-08 1990-11-14 Dräger Nederland B.V. Process and sensor for measuring the glucose content of glucosecontaining fluids
US5298022A (en) 1989-05-29 1994-03-29 Amplifon Spa Wearable artificial pancreas
IT1231916B (en) 1989-05-29 1992-01-15 Ampliscientifica S R L WEARABLE ARTIFICIAL PANCREAS
CA2028261C (en) * 1989-10-28 1995-01-17 Won Suck Yang Non-invasive method and apparatus for measuring blood glucose concentration
US5286362A (en) 1990-02-03 1994-02-15 Boehringer Mannheim Gmbh Method and sensor electrode system for the electrochemical determination of an analyte or an oxidoreductase as well as the use of suitable compounds therefor
US5146091A (en) 1990-04-19 1992-09-08 Inomet, Inc. Body fluid constituent measurement utilizing an interference pattern
US5165407A (en) 1990-04-19 1992-11-24 The University Of Kansas Implantable glucose sensor
US5090963A (en) 1990-10-19 1992-02-25 Product Development (Z.G.S.) Ltd. Electrochemically driven metering medicament dispenser
US5242406A (en) 1990-10-19 1993-09-07 Sil Medics Ltd. Liquid delivery device particularly useful for delivering drugs
US5527288A (en) 1990-12-13 1996-06-18 Elan Medical Technologies Limited Intradermal drug delivery device and method for intradermal delivery of drugs
NL9002764A (en) 1990-12-14 1992-07-01 Tno ELECTRODE, FITTED WITH A POLYMER COATING WITH A REDOX ENZYM BOND TO IT.
US5562613A (en) 1991-07-02 1996-10-08 Intermed, Inc. Subcutaneous drug delivery device
US5322063A (en) 1991-10-04 1994-06-21 Eli Lilly And Company Hydrophilic polyurethane membranes for electrochemical glucose sensors
US5524338A (en) 1991-10-22 1996-06-11 Pi Medical Corporation Method of making implantable microelectrode
DE4139122C1 (en) 1991-11-28 1993-04-08 Fenzlein, Paul-Gerhard, 8500 Nuernberg, De
DE4221848C2 (en) * 1992-07-03 2001-04-12 Eckhard Salzsieder Method and arrangement for automatic in situ calibration of intracorporeal glucose measuring devices
GB9215973D0 (en) 1992-07-28 1992-09-09 Univ Manchester Sensor devices
IL102930A (en) 1992-08-25 1997-03-18 Yissum Res Dev Co Electrobiochemical analytical method and electrodes
US5330634A (en) * 1992-08-28 1994-07-19 Via Medical Corporation Calibration solutions useful for analyses of biological fluids and methods employing same
DK148592D0 (en) * 1992-12-10 1992-12-10 Novo Nordisk As APPARATUS
KR960004971B1 (en) 1993-01-15 1996-04-18 경북대학교센서기술연구소 Biosensor with ion-sensitive field-effect transistor
US5545143A (en) 1993-01-21 1996-08-13 T. S. I. Medical Device for subcutaneous medication delivery
US5399245A (en) 1993-09-03 1995-03-21 North Carolina State University Methods of indirect electrochemistry using ionomer coated electrodes
US5582184A (en) 1993-10-13 1996-12-10 Integ Incorporated Interstitial fluid collection and constituent measurement
US5497772A (en) 1993-11-19 1996-03-12 Alfred E. Mann Foundation For Scientific Research Glucose monitoring system
JP3332561B2 (en) 1994-03-17 2002-10-07 イハラケミカル工業株式会社 Method for producing thioaryl compound
US5569186A (en) 1994-04-25 1996-10-29 Minimed Inc. Closed loop infusion pump system with removable glucose sensor
US5484059A (en) 1994-08-18 1996-01-16 Riverwood International Corporation Carrier with bottom panel lock
US5697366A (en) * 1995-01-27 1997-12-16 Optical Sensors Incorporated In situ calibration system for sensors located in a physiologic line
US5586553A (en) 1995-02-16 1996-12-24 Minimed Inc. Transcutaneous sensor insertion set

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1996014026A1 (en) 1994-11-04 1996-05-17 Elan Medical Technologies Limited Analyte-controlled liquid delivery device and analyte monitor

Cited By (110)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9662049B2 (en) 1998-09-30 2017-05-30 North Carolina State University Methods and systems for monitoring patients undergoing treatment for cancer
US7563350B2 (en) * 1998-10-08 2009-07-21 Abbott Diabetes Care Inc. Small volume in vitro analyte sensor
US9891185B2 (en) 1998-10-08 2018-02-13 Abbott Diabetes Care Inc. Small volume in vitro analyte sensor
WO2001013102A1 (en) * 1999-08-11 2001-02-22 Iit Limited Sensor devices and analytical methods for their use
WO2001021827A1 (en) * 1999-09-20 2001-03-29 Roche Diagnostics Corporation Small volume biosensor for continuous analyte monitoring
US7045054B1 (en) 1999-09-20 2006-05-16 Roche Diagnostics Corporation Small volume biosensor for continuous analyte monitoring
US7731835B2 (en) 1999-09-20 2010-06-08 Roche Diagnostics Operations, Inc. Electrochemical sensor and method for continuous analyte monitoring
WO2001022874A1 (en) * 1999-09-29 2001-04-05 Sicel Technologies, Inc. Methods of calibrating in vivo sensor systems using in vivo generating electrodes and related devices
WO2001033216A1 (en) * 1999-11-04 2001-05-10 Therasense, Inc. Small volume in vitro analyte sensor and related methods
US9662057B2 (en) 2000-06-27 2017-05-30 Abbott Diabetes Care Inc. Integrated sample acquisition and analyte measurement method
US6717154B2 (en) 2000-08-02 2004-04-06 Sicel Technologies, Inc. Evaluation of irradiated foods and other items with telemetric dosimeters and associated methods
US9797858B2 (en) 2000-11-30 2017-10-24 Panasonic Healthcare Holdings Co., Ltd. Biosensor, measuring instrument for biosensor, and method of quantifying substrate
US8101063B2 (en) 2000-11-30 2012-01-24 Panasonic Corporation Method of measuring quantity of substrate
US8298400B2 (en) 2000-11-30 2012-10-30 Panasonic Corporation Method of measuring quantity of substrate
US8097147B2 (en) 2000-11-30 2012-01-17 Panasonic Corporation Method of measuring quantity of substrate
US8668820B2 (en) * 2000-11-30 2014-03-11 Panasonic Corporation Method of measuring quantity of substrate
US10605757B2 (en) 2000-11-30 2020-03-31 Phc Holdings Corporation Biosensor, measuring instrument for biosensor, and method of quantifying substrate
WO2005065535A1 (en) * 2003-12-30 2005-07-21 Medtronic Minimed, Inc. System and method for sensor recalibration
US8777852B2 (en) 2003-12-30 2014-07-15 Medtronic Minimed, Inc. System and method for sensor recalibration
US7384397B2 (en) 2003-12-30 2008-06-10 Medtronic Minimed, Inc. System and method for sensor recalibration
US10067082B2 (en) 2004-02-06 2018-09-04 Ascensia Diabetes Care Holdings Ag Biosensor for determining an analyte concentration
US10327638B2 (en) 2004-05-03 2019-06-25 Dexcom, Inc. Transcutaneous analyte sensor
US9833143B2 (en) 2004-05-03 2017-12-05 Dexcom, Inc. Transcutaneous analyte sensor
US10827956B2 (en) 2004-07-13 2020-11-10 Dexcom, Inc. Analyte sensor
US10980452B2 (en) 2004-07-13 2021-04-20 Dexcom, Inc. Analyte sensor
US10813576B2 (en) 2004-07-13 2020-10-27 Dexcom, Inc. Analyte sensor
US10799159B2 (en) 2004-07-13 2020-10-13 Dexcom, Inc. Analyte sensor
US10918314B2 (en) 2004-07-13 2021-02-16 Dexcom, Inc. Analyte sensor
US10799158B2 (en) 2004-07-13 2020-10-13 Dexcom, Inc. Analyte sensor
US10918313B2 (en) 2004-07-13 2021-02-16 Dexcom, Inc. Analyte sensor
US10722152B2 (en) 2004-07-13 2020-07-28 Dexcom, Inc. Analyte sensor
US10932700B2 (en) 2004-07-13 2021-03-02 Dexcom, Inc. Analyte sensor
US10709362B2 (en) 2004-07-13 2020-07-14 Dexcom, Inc. Analyte sensor
US10709363B2 (en) 2004-07-13 2020-07-14 Dexcom, Inc. Analyte sensor
US9603557B2 (en) 2004-07-13 2017-03-28 Dexcom, Inc. Transcutaneous analyte sensor
US9610031B2 (en) 2004-07-13 2017-04-04 Dexcom, Inc. Transcutaneous analyte sensor
US10918315B2 (en) 2004-07-13 2021-02-16 Dexcom, Inc. Analyte sensor
US10524703B2 (en) 2004-07-13 2020-01-07 Dexcom, Inc. Transcutaneous analyte sensor
US10993641B2 (en) 2004-07-13 2021-05-04 Dexcom, Inc. Analyte sensor
US10993642B2 (en) 2004-07-13 2021-05-04 Dexcom, Inc. Analyte sensor
US11026605B1 (en) 2004-07-13 2021-06-08 Dexcom, Inc. Analyte sensor
US10314525B2 (en) 2004-07-13 2019-06-11 Dexcom, Inc. Analyte sensor
US11045120B2 (en) 2004-07-13 2021-06-29 Dexcom, Inc. Analyte sensor
US9775543B2 (en) 2004-07-13 2017-10-03 Dexcom, Inc. Transcutaneous analyte sensor
US11064917B2 (en) 2004-07-13 2021-07-20 Dexcom, Inc. Analyte sensor
US9801572B2 (en) 2004-07-13 2017-10-31 Dexcom, Inc. Transcutaneous analyte sensor
US9814414B2 (en) 2004-07-13 2017-11-14 Dexcom, Inc. Transcutaneous analyte sensor
US10022078B2 (en) 2004-07-13 2018-07-17 Dexcom, Inc. Analyte sensor
US11883164B2 (en) 2004-07-13 2024-01-30 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US9833176B2 (en) 2004-07-13 2017-12-05 Dexcom, Inc. Transcutaneous analyte sensor
US9986942B2 (en) 2004-07-13 2018-06-05 Dexcom, Inc. Analyte sensor
US10743801B2 (en) 2005-03-10 2020-08-18 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10918317B2 (en) 2005-03-10 2021-02-16 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US11051726B2 (en) 2005-03-10 2021-07-06 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US11000213B2 (en) 2005-03-10 2021-05-11 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10925524B2 (en) 2005-03-10 2021-02-23 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10918318B2 (en) 2005-03-10 2021-02-16 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10918316B2 (en) 2005-03-10 2021-02-16 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10610137B2 (en) 2005-03-10 2020-04-07 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10898114B2 (en) 2005-03-10 2021-01-26 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10856787B2 (en) 2005-03-10 2020-12-08 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10610136B2 (en) 2005-03-10 2020-04-07 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10716498B2 (en) 2005-03-10 2020-07-21 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10709364B2 (en) 2005-03-10 2020-07-14 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10617336B2 (en) 2005-03-10 2020-04-14 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10610135B2 (en) 2005-03-10 2020-04-07 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10813577B2 (en) 2005-06-21 2020-10-27 Dexcom, Inc. Analyte sensor
AU2006272909B2 (en) * 2005-07-20 2013-02-07 Bayer Healthcare Llc Gated amperometry
TWI427289B (en) * 2005-07-20 2014-02-21 Bayer Healthcare Llc Gated amperometry
WO2007013915A1 (en) * 2005-07-20 2007-02-01 Bayer Healthcare Llc Gated amperometry
CN103558284B (en) * 2005-07-20 2017-04-12 安晟信医疗科技控股公司 Gated amperometry
CN110376269A (en) * 2005-07-20 2019-10-25 安晟信医疗科技控股公司 The method for determining the input signal duration
AU2016213744B2 (en) * 2005-07-20 2017-11-23 Ascensia Diabetes Care Holdings Ag Gated amperometry
JP2012247433A (en) * 2005-07-20 2012-12-13 Bayer Healthcare Llc Gating current measuring instrument
JP2009503452A (en) * 2005-07-20 2009-01-29 バイエル・ヘルスケア・エルエルシー Gated current measuring instrument
EP3483599A1 (en) * 2005-07-20 2019-05-15 Ascensia Diabetes Care Holdings AG Methods for measuring the concentration of an analyte in solution and for calibrating the measurement as well as handheld devices therefor
CN110376270A (en) * 2005-07-20 2019-10-25 安晟信医疗科技控股公司 The method for measuring sample temperature
AU2014218413B2 (en) * 2005-07-20 2016-09-15 Ascensia Diabetes Care Holdings Ag Gated amperometry
CN106970135A (en) * 2005-07-20 2017-07-21 安晟信医疗科技控股公司 Gated amperometry
CN106970135B (en) * 2005-07-20 2019-09-06 安晟信医疗科技控股公司 Gated amperometry
AU2013200069B2 (en) * 2005-07-20 2014-06-05 Ascensia Diabetes Care Holdings Ag Gated amperometry
US9835582B2 (en) 2005-09-30 2017-12-05 Ascensia Diabetes Care Holdings Ag Devices using gated voltammetry methods
US11435312B2 (en) 2005-09-30 2022-09-06 Ascensia Diabetes Care Holdings Ag Devices using gated voltammetry methods
US10670553B2 (en) 2005-09-30 2020-06-02 Ascensia Diabetes Care Holdings Ag Devices using gated voltammetry methods
EP1860432A1 (en) * 2006-05-24 2007-11-28 Bionime GmbH A method for operating a measuring meter and a measuring meter
CN101078719B (en) * 2006-05-24 2013-02-20 华广生技股份有限公司 Method for operating measuring meter and measuring meter
US8236165B2 (en) * 2006-05-24 2012-08-07 Bionime Corporation Method for operating measuring meter and measuring meter
US11091790B2 (en) 2006-10-24 2021-08-17 Ascensia Diabetes Care Holdings Ag Determining analyte concentration from variant concentration distribution in measurable species
US10190150B2 (en) 2006-10-24 2019-01-29 Ascensia Diabetes Care Holdings Ag Determining analyte concentration from variant concentration distribution in measurable species
US8721544B2 (en) 2007-03-20 2014-05-13 Roche Diagnostics Operations, Inc. System for in-vivo measurement of an analyte concentration
US9636049B2 (en) 2007-03-20 2017-05-02 Roche Diagnostics Operations, Inc. Method of compression data from in-vivo measurements of an analyte concentration in a human
EP2142096A4 (en) * 2007-04-04 2010-12-29 Isense Corp Analyte sensing device having one or more sensing electrodes
EP2142096A1 (en) * 2007-04-04 2010-01-13 Isense Corporation Analyte sensing device having one or more sensing electrodes
US9933385B2 (en) 2007-12-10 2018-04-03 Ascensia Diabetes Care Holdings Ag Method of using an electrochemical test sensor
CN107091870B (en) * 2007-12-10 2019-10-08 安晟信医疗科技控股公司 Determine measuring device, bio-sensor system and the method for analyte concentration
US10690614B2 (en) 2007-12-10 2020-06-23 Ascensia Diabetes Care Holdings Ag Method of using an electrochemical test sensor
CN107091870A (en) * 2007-12-10 2017-08-25 安晟信医疗科技控股公司 Determine measurement apparatus, bio-sensor system and the method for analyte concentration
US10739350B2 (en) 2007-12-10 2020-08-11 Ascensia Diabetes Care Holdings Ag Method for determining analyte concentration based on slope-based compensation
US20100327886A1 (en) * 2008-03-27 2010-12-30 Toshifumi Nakamura Measurement device, measurement system, and concentration measurement method
US10656113B2 (en) 2008-12-08 2020-05-19 Ascensia Diabetes Care Holdings Ag Biosensor systems for determining analyte concentration based on complex index functions
US8744776B2 (en) 2008-12-08 2014-06-03 Bayer Healthcare Llc Method for determining analyte concentration based on complex index functions
EP2408368A1 (en) * 2009-03-16 2012-01-25 Arkray, Inc. Method of continuously measuring substrate concentration
WO2010106781A1 (en) 2009-03-16 2010-09-23 Arkray, Inc. Method of continuously measuring substrate concentration
EP2408368A4 (en) * 2009-03-16 2013-12-25 Arkray Inc Method of continuously measuring substrate concentration
US10591436B2 (en) 2010-03-22 2020-03-17 Ascensia Diabetes Care Holdings Ag Residual compensation including underfill error
US9995702B2 (en) 2010-06-07 2018-06-12 Ascensia Diabetes Care Holdsings AG Slope-base compensation including secondary output signals
US10921278B2 (en) 2010-06-07 2021-02-16 Ascensia Diabetes Care Holdings Ag Slope-based compensation including secondary output signals
US9164076B2 (en) 2010-06-07 2015-10-20 Bayer Healthcare Llc Slope-based compensation including secondary output signals
US9775806B2 (en) 2011-09-21 2017-10-03 Ascensia Diabetes Care Holdings Ag Analysis compensation including segmented signals
US10646445B2 (en) 2011-09-21 2020-05-12 Ascensia Diabetes Care Holdings Ag Analysis compensation including segmented signals converted into signal processing parameters for describing a portion of total error

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